Evidence map›Paper›PMID 34728477›Full record

ArticleBMJ global health2021

Integrating community-based verbal autopsy into civil registration and vital statistics: lessons learnt from five countries.

Sonja Margot Firth, John D Hart, Matthew Reeve, Hang Li, Lene Mikkelsen, Deborah Carmina Sarmiento, Khin Sandar Bo, Viola Kwa, Jin-Lei Qi, Peng Yin and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 11 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

13 authors at 4 institutions in 4 countries.

Sonja Margot FirthSchool of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia sonja.firth@unimelb.edu.au.ORCID 0000-0002-2189-0263
John D HartSchool of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Matthew ReeveSchool of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Hang LiSchool of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Lene MikkelsenSchool of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Deborah Carmina SarmientoSchool of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Khin Sandar BoSchool of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Viola KwaSchool of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Jin-Lei QiNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Peng YinNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Agnes SegarraEpidemiological Bureau, Republic of the Philippines Department of Health, Manila, Philippines.
Ian RileySchool of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Rohina JoshiThe George Institute for Global Health, Newtown, New South Wales, Australia.
The University of Melbourne · AUNational Center for Chronic and Noncommunicable Disease Control and Prevention · CNDepartment of Health · PHThe George Institute for Global Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes the lessons from scaling up a verbal autopsy (VA) intervention to improve data about causes of death according to a nine-domain framework: governance, design, operations, human resources, financing, infrastructure, logistics, information technologies and data quality assurance. We use experiences from China, Myanmar, Papua New Guinea, Philippines and Solomon Islands to explore how VA has been successfully implemented in different contexts, to guide other countries in their VA implementation. The governance structure for VA implementation comprised a multidisciplinary team of technical experts, implementers and staff at different levels within ministries. A staged approach to VA implementation involved scoping and mapping of death registration processes, followed by pretest and pilot phases which allowed for redesign before a phased scale-up. Existing health workforce in countries were trained to conduct the VA interviews as part of their routine role. Costs included training and compensation for the VA interviewers, information technology (IT) infrastructure costs, advocacy and dissemination, which were borne by the funding agency in early stages of implementation. The complexity of the necessary infrastructure, logistics and IT support required for VA increased with scale-up. Quality assurance was built into the different phases of the implementation. VA as a source of cause of death data for community deaths will be needed for some time. With the right technical and political support, countries can scale up this intervention to ensure ongoing collection of quality and timely information on community deaths for use in health planning and better monitoring of national and global health goals.

Indexed as

AutopsyCause of DeathChinaHumansMyanmarUnited Stateshealth systemspublic health

Identifiers

PMID34728477
PMCPMC8565529
OpenAlexW3210618690

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.