Evidence map›Paper›PMID 26955472›Full record

ArticleJournal of global health2016

Verbal/Social Autopsy in Niger 2012-2013: A new tool for a better understanding of the neonatal and child mortality situation.

Khaled Bensaïd, Asma Gali Yaroh, Henry D Kalter, Alain K Koffi, Agbessi Amouzou, Abdou Maina, Narjis Kazmi

Abstract read
In one paragraph

Article in Journal of global health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Khaled BensaïdUNICEF, Niger country office, Niamey, Niger (retired).
Asma Gali YarohMinistry of Health, Niamey, Niger.
Henry D KalterDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Alain K KoffiDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Agbessi AmouzouUNICEF, New York City, NY, USA.
Abdou MainaInstitute National des Statistics, Niamey, Niger.
Narjis KazmiDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Niger, one of the poorest countries in the world, recently used for the first time the integrated verbal and social autopsy (VASA) tool to assess the biological causes and social and health system determinants of neonatal and child deaths. These notes summarize the Nigerien experience in the use of this new tool, the steps taken for high level engagement of the Niger government and stakeholders for the wide dissemination of the study results and their use to support policy development and maternal, neonatal and child health programming in the country. The experience in Niger reflects lessons learned by other developing countries in strengthening the use of data for evidence-based decision making, and highlights the need for the global health community to provide continued support to country data initiatives, including the collection, analysis, interpretation and utilization of high quality data for the development of targeted, highly effective interventions. In Niger, this is supporting the country's progress toward achieving Millennium Development Goal 4. A follow-up VASA study is being planned and the tool is being integrated into the National Health Management Information System. VASA studies have now been completed or are under way in additional sub-Saharan African countries, in each through the same collaborative process used in Niger to bring together health policy makers, program planners and development partners.

Indexed as

Child MortalityInfant MortalityAutopsyChild, PreschoolDeveloping CountriesFemaleHealth PolicyHumansInfantInfant, NewbornMaternal-Child Health ServicesModels, StatisticalNigerPolicy Making

Identifiers

PMID26955472
PMCPMC4766792

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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.