Evidence map›Paper›PMID 28137194›Full record

ArticleGlobal health action2017

Integrating community-based verbal autopsy into civil registration and vital statistics (CRVS): system-level considerations.

Don de Savigny, Ian Riley, Daniel Chandramohan, Frank Odhiambo, Erin Nichols, Sam Notzon, Carla AbouZahr, Raj Mitra, Daniel Cobos Muñoz, Sonja Firth and 8 more

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
7.3field-weighted citation impact, top 2% of its field
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

55 citing papers in PubMed, 2 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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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

18 authors at 9 institutions in 9 countries.

Don de Savignya Department of Epidemiology and Public Health , Swiss Tropical and Public Health Institute , Basel , Switzerland.
Ian Rileyc Melbourne School of Population and Global Health , University of Melbourne , Carlton , Australia.
Daniel Chandramohand Department of Disease Control , London School of Hygiene and Tropical Medicine , London , UK.
Frank Odhiamboe African Field Epidemiology Network (AFENET) , Kisumu , Kenya.
Erin Nicholsf National Centre for Health Statistics , Centres for Disease Control and Prevention , Hyattsville , MD , USA.
Sam Notzonf National Centre for Health Statistics , Centres for Disease Control and Prevention , Hyattsville , MD , USA.
Carla AbouZahrg CAZ Consulting , Geneva , Switzerland.
Raj Mitrah Africa Centre for Statistics , United Nations Economic Commission for Africa , Addis Ababa , Ethiopia.
Daniel Cobos Muñoza Department of Epidemiology and Public Health , Swiss Tropical and Public Health Institute , Basel , Switzerland.
Sonja Firthc Melbourne School of Population and Global Health , University of Melbourne , Carlton , Australia.
Nicolas Mairea Department of Epidemiology and Public Health , Swiss Tropical and Public Health Institute , Basel , Switzerland.
Osman Sankohi INDEPTH Network , Accra , Ghana.
Gay Bronsonk Vital Strategies , New York , NY , USA.
Philip Setelk Vital Strategies , New York , NY , USA.
Peter Byassl WHO Collaborating Centre for Verbal Autopsy, Umeå Centre for Global Health Research, Epidemiology and Global Health, Department of Public Health and Clinical Medicine , Umeå University , Umeå , Sweden.
Robert Jakobn Department of Health Statistics and Information Systems , World Health Organization , Geneva , Switzerland.
Ties Boerman Department of Health Statistics and Information Systems , World Health Organization , Geneva , Switzerland.
Alan D Lopezc Melbourne School of Population and Global Health , University of Melbourne , Carlton , Australia.
Swiss Tropical and Public Health Institute · CHThe University of Melbourne · AUNational Center for Health Statistics · USUniversity of the Witwatersrand · ZAVital Strategies · USWorld Health Organization · CHEnergy, Environment and Development Network for Africa · KELondon School of Hygiene & Tropical Medicine · GBUnited Nations Economic Commission for Africa · ET

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundReliable and representative cause of death (COD) statistics are essential to inform public health policy, respond to emerging health needs, and document progress towards Sustainable Development Goals. However, less than one-third of deaths worldwide are assigned a cause. Civil registration and vital statistics (CRVS) systems in low- and lower-middle-income countries are failing to provide timely, complete and accurate vital statistics, and it will still be some time before they can provide physician-certified COD for every death. Proposals: Verbal autopsy (VA) is a method to ascertain the probable COD and, although imperfect, it is the best alternative in the absence of medical certification. There is extensive experience with VA in research settings but only a few examples of its use on a large scale. Data collection using electronic questionnaires on mobile devices and computer algorithms to analyse responses and estimate probable COD have increased the potential for VA to be routinely applied in CRVS systems. However, a number of CRVS and health system integration issues should be considered in planning, piloting and implementing a system-wide intervention such as VA. These include addressing the multiplicity of stakeholders and sub-systems involved, integration with existing CRVS work processes and information flows, linking VA results to civil registration records, information technology requirements and data quality assurance.

conclusionsIntegrating VA within CRVS systems is not simply a technical undertaking. It will have profound system-wide effects that should be carefully considered when planning for an effective implementation. This paper identifies and discusses the major system-level issues and emerging practices, provides a planning checklist of system-level considerations and proposes an overview for how VA can be integrated into routine CRVS systems.

Indexed as

Cause of DeathAutopsyGovernment ProgramsHealth Information ManagementHumansInternational Classification of DiseasesInternational CooperationPopulation SurveillancePovertySurveys and QuestionnairesVital Statisticscause of deathhealth information systemsinformation technologyinternational classification of diseaseMortality surveillanceprocess mappingSustainable Development Goalssystems integration

Identifiers

PMID28137194
PMCPMC5328373
OpenAlexW2585292824

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.