Evidence map›Paper›PMID 36797732›Full record

ArticleEmerging themes in epidemiology2023

Population cause of death estimation using verbal autopsy methods in large-scale field trials of maternal and child health: lessons learned from a 20-year research collaboration in Central Ghana.

Samuel O Danso, Alexander Manu, Justin Fenty, Seeba Amanga-Etego, Bilal Iqbal Avan, Sam Newton, Seyi Soremekun, Betty Kirkwood

Abstract read
In one paragraph

Article in Emerging themes in epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Samuel O DansoDisease Modelling Research Group, Centre for Dementia Prevention & Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. samuel.danso@ed.ac.uk.
Alexander ManuCentre for Maternal and Newborn Health, Liverpool School of Hygiene and Tropical Medicine, Liverpool, UK.
Justin FentyFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, Liverpool, UK.
Seeba Amanga-EtegoCentre for Computing, Kintampo Health Research Centre, Ministry of Health, Kintampo, Ghana.
Bilal Iqbal AvanFaculty of Infectious and Tropical Disease, London School of Hygiene and Tropical Medicine, London, UK.
Sam NewtonSchool of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Seyi Soremekun *Faculty of Infectious and Tropical Disease, London School of Hygiene and Tropical Medicine, London, UK.
Betty Kirkwood *Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Funding

Bill and Melinda Gates Foundation OPP1138582Bill and Melinda Gates Foundation OPPGH5297
6 · The paper itself

Abstract

Low and middle-income countries continue to use Verbal autopsies (VAs) as a World Health Organisation-recommended method to ascertain causes of death in settings where coverage of vital registration systems is not yet comprehensive. Whilst the adoption of VA has resulted in major improvements in estimating cause-specific mortality in many settings, well documented limitations have been identified relating to the standardisation of the processes involved. The WHO has invested significant resources into addressing concerns in some of these areas; there however remains enduring challenges particularly in operationalising VA surveys for deaths amongst women and children, challenges which have measurable impacts on the quality of data collected and on the accuracy of determining the final cause of death. In this paper we describe some of our key experiences and recommendations in conducting VAs from over two decades of evaluating seminal trials of maternal and child health interventions in rural Ghana. We focus on challenges along the entire VA pathway that can impact on the success rates of ascertaining the final cause of death, and lessons we have learned to optimise the procedures. We highlight our experiences of the value of the open history narratives in VAs and the training and skills required to optimise the quality of the information collected. We describe key issues in methods for ascertaining cause of death and argue that both automated and physician-based methods can be valid depending on the setting. We further summarise how increasingly popular information technology methods may be used to facilitate the processes described. Verbal autopsy is a vital means of increasing the coverage of accurate mortality statistics in low- and middle-income settings, however operationalisation remains problematic. The lessons we share here in conducting VAs within a long-term surveillance system in Ghana will be applicable to researchers and policymakers in many similar settings.

Indexed as

Child healthChild mortalityDeath registrationMaternal mortalityMaternal neonatal and child healthNeonatal mortalityVerbal autopsyVerbal post-mortemVital registrationVital statistics

Identifiers

PMID36797732
PMCPMC9936721

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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.