Evidence map›Paper›PMID 28077095›Full record

ArticleBMC pregnancy and childbirth2017

Geographic information system for improving maternal and newborn health: recommendations for policy and programs.

Yordanos B Molla, Barbara Rawlins, Prestige Tatenda Makanga, Marc Cunningham, Juan Eugenio Hernández Ávila, Corrine Warren Ruktanonchai, Kavita Singh, Sylvia Alford, Mira Thompson, Vikas Dwivedi and 2 more

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Leveraging data and information systems on the sustainable development goals.International journal of medical informatics · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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.

Yordanos B MollaUSAID's Maternal and Child Survival Program/Save the Children, Washington, DC, USA. ymolla@savechildren.org.
Barbara RawlinsUSAID's Maternal and Child Survival Program/Jhpiego, Washington, DC, USA.
Prestige Tatenda MakangaGeography Department, Simon Fraser University, Burnaby, BC, Canada.
Marc CunninghamMEASURE Evaluation/John Snow Inc, Rosslyn, VA, USA.
Juan Eugenio Hernández ÁvilaNational Institute of Public Health of Mexico, Cuernavaca, Morelos, Mexico.
Corrine Warren RuktanonchaiGeography and Environment, University of Southampton, Southampton, UK.
Kavita SinghMEASURE Evaluation/Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sylvia AlfordGlobal Health Fellows Program II, United States Agency for International Development (USAID), Washington, DC, USA.
Mira ThompsonUSAID's Maternal and Child Survival Program/Jhpiego, Washington, DC, USA.
Vikas DwivediUSAID's Maternal and Child Survival Program/ John Snow Inc, Washington, DC, USA.
Allisyn C MoranGlobal Health Fellows Program II, United States Agency for International Development (USAID), Washington, DC, USA.
Zoe MatthewsDepartment of Social Statistics and Demography, University of Southampton, Southampton, UK.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

This correspondence argues and offers recommendations for how Geographic Information System (GIS) applied to maternal and newborn health data could potentially be used as part of the broader efforts for ending preventable maternal and newborn mortality. These recommendations were generated from a technical consultation on reporting and mapping maternal deaths that was held in Washington, DC from January 12 to 13, 2015 and hosted by the United States Agency for International Development's (USAID) global Maternal and Child Survival Program (MCSP). Approximately 72 participants from over 25 global health organizations, government agencies, donors, universities, and other groups participated in the meeting.The meeting placed emphases on how improved use of mapping could contribute to the post-2015 United Nation's Sustainable Development Goals (SDGs), agenda in general and to contribute to better maternal and neonatal health outcomes in particular. Researchers and policy makers have been calling for more equitable improvement in Maternal and Newborn Health (MNH), specifically addressing hard-to-reach populations at sub-national levels. Data visualization using mapping and geospatial analyses play a significant role in addressing the emerging need for improved spatial investigation at subnational scale. This correspondence identifies key challenges and recommendations so GIS may be better applied to maternal health programs in resource poor settings. The challenges and recommendations are broadly grouped into three categories: ancillary geospatial and MNH data sources, technical and human resources needs and community participation.

Indexed as

Geographic Information SystemsFemaleGlobal HealthHumansInfant HealthInfant, NewbornInternational CooperationMaternal-Child Health ServicesMaternal DeathMaternal HealthPerinatal DeathPregnancyGISMappingMaternalMortalityNewborn

Identifiers

PMID28077095
PMCPMC5225565

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.