Evidence map›Paper›PMID 35968464›Full record

ArticleFrontiers in public health2022

Leveraging big data for improving the estimation of close to reality travel time to obstetric emergency services in urban low- and middle-income settings.

Aduragbemi Banke-Thomas, Peter M Macharia, Prestige Tatenda Makanga, Lenka Beňová, Kerry L M Wong, Uchenna Gwacham-Anisiobi, Jia Wang, Tope Olubodun, Olakunmi Ogunyemi, Bosede B Afolabi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
7.6field-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

11 citing papers in PubMed, 20 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

12 authors at 10 institutions in 6 countries.

Aduragbemi Banke-ThomasSchool of Human Sciences, University of Greenwich, London, United Kingdom.
Peter M MachariaPopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Prestige Tatenda MakangaSurveying and Geomatics Department, Faculty of Science and Technology, Midlands State University, Gweru, Zimbabwe.
Lenka BeňováDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Kerry L M WongDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Uchenna Gwacham-AnisiobiNuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Jia WangSchool of Computing and Mathematical Sciences, University of Greenwich, London, United Kingdom.
Tope OlubodunDepartment of Community Medicine and Primary Care, Federal Medical Centre Abeokuta, Abeokuta, Nigeria.
Olakunmi OgunyemiLagos State Ministry of Health, Lagos, Nigeria.
Bosede B AfolabiMaternal and Reproductive Health Research Collective, Lagos, Nigeria.
Bassey EbensoLeeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom.
Ibukun-Oluwa Omolade AbejirindeWomen's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, ON, Canada.
University of Greenwich · GBFederal Medical Centre · NGInstituut voor Tropische Geneeskunde · BELancaster University · GBLondon School of Hygiene & Tropical Medicine · GBMidlands State University · ZWPublic Health Ontario · CAUniversity of Lagos · NGUniversity of Leeds · GBUniversity of Oxford · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Maternal and perinatal mortality remain huge challenges globally, particularly in low- and middle-income countries (LMICs) where >98% of these deaths occur. Emergency obstetric care (EmOC) provided by skilled health personnel is an evidence-based package of interventions effective in reducing these deaths associated with pregnancy and childbirth. Until recently, pregnant women residing in urban areas have been considered to have good access to care, including EmOC. However, emerging evidence shows that due to rapid urbanization, this so called "

Indexed as

Big DataEmergency Medical ServicesDelivery, ObstetricFemaleHealth Services AccessibilityHumansPregnancyTravelaccessbig datadigital technologyemergency obstetric careequitytravel timeurbanization and developing countries

Identifiers

PMID35968464
PMCPMC9372297
OpenAlexW4288422748

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.