Evidence map›Paper›PMID 33011490›Full record

ArticleHealth & place2020

National and subnational estimates of coverage and travel time to emergency obstetric care in Afghanistan: Modeling of spatial accessibility.

Christine Kim, Hannah Tappis, Philip McDaniel, Mohammad Samim Soroush, Bruce Fried, Morris Weinberger, Justin G Trogdon, Kristen Hassmiller Lich, Paul L Delamater

Open access · greenAbstract read
In one paragraph

Article in Health & place, 2020. 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
3.6field-weighted citation impact, top 7% 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, 15 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

9 authors at 2 institutions in 1 country.

Christine KimDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: christine_kim@alumni.unc.edu.
Hannah TappisTechnical Leadership and Innovations Department, Jhpiego, Baltimore, MD, USA. Electronic address: Hannah.Tappis@jhpiego.org.
Philip McDanielDavis Library, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: pmmcdani@email.unc.edu.
Mohammad Samim SoroushUNICEF, New York, NY, USA. Electronic address: msoroush@unicef.org.
Bruce FriedDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: Bruce_fried@unc.edu.
Morris WeinbergerDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: mweinber@email.unc.edu.
Justin G TrogdonDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: trogdonj@email.unc.edu.
Kristen Hassmiller LichDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: klich@unc.edu.
Paul L DelamaterDepartment of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: pld@email.unc.edu.
University of North Carolina at Chapel Hill · USUnited Nations Children's Fund · US

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

In Afghanistan, the risk of maternal death is among the highest in the world, with wide variation across the country. One explanation may be wide geographic disparities in access and use of maternal health care services. This study describes the spatial distribution of public facilities providing maternal health care in Afghanistan, specifically emergency obstetric care (EmOC), and the differences in travel time estimates using different transportation modes from 2010 to 2015 at the national and subnational levels. We conducted mapping and spatial analyses to measure the proportion of pregnant women able to access any EmOC health facility within 2 h by foot, animal, motor vehicle and a combination of transport modes. In 2015, adequate coverage of active public health facilities within 2 h of travel time was 36.6% by foot and 71.2% by a combination of transport modes. We found an 8.3% and 63.2% increase in access to EmOC facilities within 2 h of travel time by a combination of transport modes and by foot only, respectively, by 2015. Access to a combination of transportation options such as motor vehicles and animals may benefit pregnant women in reaching health facilities efficiently. Afghanistan made impressive gains in maternal healthcare access; despite these improvements, large disparities remain in geographic access by province and overall access to facilities is still poor.

Indexed as

Emergency Medical ServicesMaternal Health ServicesAfghanistanFemaleHealth Services AccessibilityHumansPregnancyTravelAccess to healthcareAfghanistanGeographic disparitiesMaternal healthcareSpatial analysis

Identifiers

PMID33011490
PMCPMC7773147
OpenAlexW3091610289

What OpenQuestion holds

Textmetadata
LicenceTDM
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.