Evidence map›Paper›PMID 39282516›Full record

ArticleF1000Research2023

Dataset: A consolidated and harmonised Verbal Autopsy dataset from Health and Demographic Surveillance Sites in South Africa.

Eilidh Cowan, Lucia D'Ambruoso, Jessica Price, Edward Fottrell, Kobus Herbst

Abstract readDataset
In one paragraph

Article in F1000Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Eilidh CowanSchool of Geosciences, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-0731-278X
Lucia D'AmbruosoAberdeen Centre of Health Data Science (ACHDS), Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition,, University of Aberdeen, Aberdeen, UK.
Jessica Price4. MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences,, University of the Witwatersrand, Johannesburg, South Africa.
Edward FottrellInstitute for Global Health, University College London, London, UK.
Kobus HerbstAfrica Health Research Institute, Johannesburg, South Africa.

Funding

Medical Research Council MR/P014844/1Wellcome Trust MR/ P014844/1
6 · The paper itself

Abstract

This data note provides details of the development of a Verbal Autopsy (VA) dataset produced with the South African Population Research Infrastructure Network (SAPRIN) drawing on datasets from health and socio-demographic surveillance sites' (HDSS) ' covering a population of over 250,000 in two rural provinces in South Africa for the period 2012-2019. The purpose of the data set was to refine an analytical tool within VA, which provides unique information on care seeking and utilisation at and around the time of death complementary to that of medical cause of death. On an individual basis, the dataset includes demographic data, probable cause of death data, and data on care seeking and utilisation at or around the time of death drawn from longitudinal population cohorts. The purpose of this publication is to describe both the dataset and methods in formatting and processing the data for other researchers who may be interested in similar data. The data described in this paper are available to be requested from the respective HDSS repositories.

Indexed as

AutopsyAdolescentAdultAgedCause of DeathDemographyFemaleHumansMaleMiddle AgedPopulation SurveillanceSouth AfricaYoung AdultSouth Africa; Verbal Autopsy; Cause of death; Circumstances of Mortality

Identifiers

PMID39282516
PMCPMC11399759

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.