Evidence map›Paper›PMID 39269021›Full record

ArticleGlobal health action2024

Can verbal autopsies be used on a national scale? Key findings and lessons from South Africa's national cause-of-death validation study.

Monique Maqungo, Nadine Nannan, Beatrice Nojilana, Erin Nichols, Diane Morof, Mireille Cheyip, Chalapati Rao, Carl Lombard, Jessica Price, Kathleen Kahn and 11 more

Abstract read
In one paragraph

Article in Global health action, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

21 authors.

Monique MaqungoBurden of Disease Research Unit, South African Medical Research Council, Parow Valley, Western Cape, South Africa.ORCID 0000-0002-6549-9397
Nadine NannanBurden of Disease Research Unit, South African Medical Research Council, Parow Valley, Western Cape, South Africa.ORCID 0000-0002-1563-2401
Beatrice NojilanaBurden of Disease Research Unit, South African Medical Research Council, Parow Valley, Western Cape, South Africa.ORCID 0000-0003-2053-9575
Erin NicholsNational Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, MD, USA.ORCID 0000-0002-4917-1412
Diane MorofU.S. Public Health Service Commissioned Corps, Rockville, MD, USA.ORCID 0000-0003-1299-5204
Mireille CheyipDivision of Global HIV/AIDS and TB, Centers for Disease Control and Prevention, Pretoria, South Africa.
Chalapati RaoDepartment of Global Health, Research School of Population Health, Australian National University, Acton, Australian Capital Territory, Australia.
Carl LombardBiostatistics Research Unit, South African Medical Research Council, Parow Valley, Western Cape, South Africa.ORCID 0000-0002-2136-6533
Jessica PriceSAMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0002-4020-6850
Kathleen KahnSAMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0003-3339-3931
Lorna J MartinDivision of Forensic Medicine and Toxicology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-1231-7932
Francois BezuidenhoutGeoSpace International, Pretoria, South Africa.ORCID 0000-0002-5660-0932
Ria LaubscherBiostatistics Research Unit, South African Medical Research Council, Parow Valley, Western Cape, South Africa.
Chodziwadziwa KabudulaSAMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0002-5867-0336
Tracy GlassBurden of Disease Research Unit, South African Medical Research Council, Parow Valley, Western Cape, South Africa.ORCID 0000-0001-8493-3649
Oluwatoyin AwotiwonBurden of Disease Research Unit, South African Medical Research Council, Parow Valley, Western Cape, South Africa.ORCID 0000-0003-4377-3997
Nesbert ZinyakatiraHealth Impact Assessment Unit, Western Cape Department of Health, Cape Town, South Africa.ORCID 0000-0001-6795-2450
Noluntu FunaniBurden of Disease Research Unit, South African Medical Research Council, Parow Valley, Western Cape, South Africa.ORCID 0000-0002-7592-4019
Jané JoubertBurden of Disease Research Unit, South African Medical Research Council, Parow Valley, Western Cape, South Africa.ORCID 0000-0003-2609-9777
Debbie BradshawBurden of Disease Research Unit, South African Medical Research Council, Parow Valley, Western Cape, South Africa.ORCID 0000-0002-3588-2184
Pamela GroenewaldBurden of Disease Research Unit, South African Medical Research Council, Parow Valley, Western Cape, South Africa.ORCID 0000-0003-3801-3555

Funding

CGH CDC HHS U2G GH001150
6 · The paper itself

Abstract

backgroundVerbal autopsy (VA), though imperfect, serves as a vital tool to determine cause-of-death, particularly for out-of-facility deaths, but challenges persist in integrating VA into Civil Registration and Vital Statistics systems.

objectiveTo describe the challenges and successes of collecting a national sample of verbal autopsy interviews in South Africa to obtain the cause of death profile in 2017/18.

methodsWe recruited next of kin from 27 randomly selected sub-districts (10.5%) across South Africa between September 2017 and April 2018. Trained fieldworkers conducted face-to-face interviews using the WHO2016 VA instrument, with physicians certifying underlying causes of death. Feasibility was evaluated based on response rates, participation, and data quality.

resultsOf the total 36,976 deaths registered, only 26% were identified during recruitment, with a 55% overall response rate for VA interviews. Physician-reviewed VA data were deemed of good quality for assigning underlying causes of death in 83% of cases. By comparing cause-specific mortality fractions, physician-reviewed VA identified 22.3% HIV/AIDS and InterVA-5 identified 18.5%, aligning with burden of disease estimates, while Statistics South Africa reported 4.9% HIV/AIDS.

conclusionsThe study demonstrated the feasibility of using VA on a national scale, but immense challenges in identifying and recruiting next of kin highlight the importance of formalising VAs within the country's death notification system.

Indexed as

AutopsyCause of DeathAdultFemaleHumansInterviews as TopicMaleMiddle AgedSouth AfricaCause of deathcause-specific mortality fractionsCivil Registration and Vital StatisticsSouth Africaverbal autopsy

Identifiers

PMID39269021
PMCPMC11404373

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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.