Evidence map›Paper›PMID 26014352›Full record

ReviewInternational journal of health geographics2015

The geography of maternal and newborn health: the state of the art.

Steeve Ebener, Maria Guerra-Arias, James Campbell, Andrew J Tatem, Allisyn C Moran, Fiifi Amoako Johnson, Helga Fogstad, Karin Stenberg, Sarah Neal, Patricia Bailey and 2 more

Abstract readReview
In one paragraph

Review in International journal of health geographics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  18. Elderly Health Inequality in China and its Determinants: A Geographical Perspective.International journal of environmental research and public health · 2019
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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

12 authors.

Steeve EbenerGaia GeoSystems, Muscat, Oman. steeve.ebener@gaia-geosystems.org.
Maria Guerra-AriasICS Integrare, Barcelona, Spain. maria.guerra.arias@integrare.es.
James CampbellWHO, Geneva, Switzerland. campbellj@who.int.
Andrew J TatemWorldPop, University of Southampton, Southampton, UK. andy.tatem@gmail.com.
Allisyn C MoranUSAID, Washington, DC, USA. amoran@usaid.gov.
Fiifi Amoako JohnsonUniversity of Southampton, Southampton, UK. faj100@soton.ac.uk.
Helga FogstadNORAD, Oslo, Norway. helga.fogstad@norad.no.
Karin StenbergAMDD and FHI 360, Durham, USA. stenbergk@who.int.
Sarah NealUniversity of Southampton, Southampton, UK. s.neal@soton.ac.uk.
Patricia BaileyAMDD and FHI 360, Durham, USA. pbailey@fhi360.org.
Reid PorterThe University of Texas at Austin, Austin, USA. reidmporter@gmail.com.
Zoe MatthewsUniversity of Southampton, Southampton, UK. z.matthews@soton.ac.uk.

Funding

World Health Organization 001
6 · The paper itself

Abstract

As the deadline for the millennium development goals approaches, it has become clear that the goals linked to maternal and newborn health are the least likely to be achieved by 2015. It is therefore critical to ensure that all possible data, tools and methods are fully exploited to help address this gap. Among the methods that are under-used, mapping has always represented a powerful way to 'tell the story' of a health problem in an easily understood way. In addition to this, the advanced analytical methods and models now being embedded into Geographic Information Systems allow a more in-depth analysis of the causes behind adverse maternal and newborn health (MNH) outcomes. This paper examines the current state of the art in mapping the geography of MNH as a starting point to unleashing the potential of these under-used approaches. Using a rapid literature review and the description of the work currently in progress, this paper allows the identification of methods in use and describes a framework for methodological approaches to inform improved decision-making. The paper is aimed at health metrics and geography of health specialists, the MNH community, as well as policy-makers in developing countries and international donor agencies.

Indexed as

FemaleHumansInfant, NewbornInfant WelfareMaternal WelfareNeonatal Screening

Identifiers

PMID26014352
PMCPMC4453214

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.