Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Nov 23;14(1):422.
doi: 10.1186/s13104-021-05834-y.

Improving methods to measure comparable mortality cause (IMMCMC) gold standard verbal autopsy dataset

Riley H Hazard  1 , Hafizur Rahman Chowdhury  2 , Abraham D Flaxman  3 , Jonathan C Joseph  3 , Nurul Alam  4 , Ian Douglas Riley  2 , Peter Kim Streatfield  4 , Hebe Gouda  5 , Seri Maraga  6 , Patricia Rarau  2 , Diozele Sanvictores  7 , Veronica Tallo  7 , Marilla Lucero  7 , Alan D Lopez  8
Affiliations

Improving methods to measure comparable mortality cause (IMMCMC) gold standard verbal autopsy dataset

Riley H Hazard et al. BMC Res Notes. .

Erratum in

Abstract

Objectives: Gold standard cause of death data is critically important to improve verbal autopsy (VA) methods in diagnosing cause of death where civil and vital registration systems are inadequate or poor. As part of a three-country research study-Improving Methods to Measure Comparable Mortality by Cause (IMMCMC) study-data were collected on clinicopathological criteria-based gold standard cause of death from hospital record reviews with matched VAs. The purpose of this data note is to make accessible a de-identified format of these gold standard VAs for interested researchers to improve the diagnostic accuracy of VA methods.

Data description: The study was conducted between 2011 and 2014 in the Philippines, Bangladesh, and Papua New Guinea. Gold standard diagnoses of underlying causes of death for deaths occurring in hospital were matched to VAs conducted using a standardized VA questionnaire developed by the Population Health Metrics Consortium. 3512 deaths were collected in total, comprised of 2491 adults (12 years and older), 320 children (28 days to 12 years), and 702 neonates (0-27 days).

Keywords: Cause of death; Gold standard; Verbal autopsy.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

References

    1. Murray CJ, Lopez AD, Black R, Ahuja R, Ali SM, Baqui A, et al. Population Health Metrics Research Consortium gold standard verbal autopsy validation study: design, implementation, and development of analysis datasets. Popul Health Metr. 2011;9:27. doi: 10.1186/1478-7954-9-27. - DOI - PMC - PubMed
    1. Chowdhury HR, Flaxman AD, Joseph JC, Hazard RH, Alam N, Riley ID, et al. Robustness of the Tariff method for diagnosing verbal autopsies: impact of additional site data on the relationship between symptom and cause. BMC Med Res Methodol. 2019;19:232. doi: 10.1186/s12874-019-0877-7. - DOI - PMC - PubMed
    1. Williams GM, Riley ID, Hazard RH, Chowhury HR, Alam N, Streafield PK, et al. On the estimation of population cause-specific mortality fractions from in-hospital deaths. BMC Med. 2019;17:29. doi: 10.1186/s12916-019-1267-z. - DOI - PMC - PubMed
    1. Nichols EK, Byass P, Chandramohan D, Clark SJ, Flaxman AD, Jakob R, et al. The WHO 2016 verbal autopsy instrument: An international standard suitable for automated analysis by InterVA, InSilicoVA, and Tariff 2.0. PLOS Med. 2018;15:e1002486. doi: 10.1371/journal.pmed.1002486. - DOI - PMC - PubMed
    1. Hazard RH, Chowdhury HR, Flaxman AD, Alam N, Riley ID, Streatfield PK, et al. Improving Methods to Measure Comparable Mortality by Cause—Gold Standard Verbal Autopsy Data 2011–2014. Zenodo. 2020.