Evidence map›Paper›PMID 34330852›Full record

ArticleBMJ open2021

National optimisation of accessibility to emergency obstetrical and neonatal care in Togo: a geospatial analysis.

Andrew Curtis, Jean-Pierre Monet, Michel Brun, Issa Abdou-Kérim Bindaoudou, Idrissou Daoudou, Marta Schaaf, Yawo Agbigbi, Nicolas Ray

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 24 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

8 authors at 3 institutions in 3 countries.

Andrew CurtisGeoHealth Group, Institute of Global Health, University of Geneva, Geneva, Switzerland.
Jean-Pierre MonetTechnical Division, UNFPA, New York, New York, USA.
Michel BrunTechnical Division, UNFPA, New York, New York, USA.
Issa Abdou-Kérim BindaoudouNational Institute of Statistics and Economic and Demographic Studies, Lomé, Togo.
Idrissou DaoudouMinistry of Health of Togo, Lomé, Togo.
Marta SchaafIndependent Consultant, Brooklyn, New York, USA.ORCID 0000-0002-7616-5966
Yawo AgbigbiUNFPA-Togo, Lomé, Togo.
Nicolas RayGeoHealth Group, Institute of Global Health, University of Geneva, Geneva, Switzerland nicolas.ray@unige.ch.ORCID 0000-0002-4696-5313
United Nations Population Fund · USUniversity of Geneva · CHTogolese Ministry of Health · TG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesImproving access to emergency obstetrical and neonatal care (EmONC) is a key strategy for reducing maternal and neonatal mortality. Access is shaped by several factors, including service availability and geographical accessibility. In 2013, the Ministry of Health (MoH) of Togo used service availability and other criteria to designate particular facilities as EmONC facilities, facilitating efficient allocation of limited resources. In 2018, the MoH further revised and rationalised this health facility network by applying an innovative methodology using health facility characteristics and geographical accessibility modelling to optimise timely access to EmONC services. This study compares the geographical accessibility of the network established in 2013 and the smaller network developed in 2018.

designWe used data regarding travel modes and speeds, geographical barriers and topographical and urban constraints, to estimate travel times to the nearest EmONC facilities. We compared the EmONC network of 109 facilities established in 2013 with the one composed of 73 facilities established in 2018, using three travel scenarios (walking and motorised, motorcycle-taxi and walking-only).

resultsWhen walking and motorised travel is considered, the 2013 EmONC network covers 81% and 96.6% of the population at the 1-hour and 2-hour limit, respectively. These figures are slightly higher when motorcycle-taxis are considered (82.8% and 98%), and decreased to 34.7% and 52.3% for the walking-only scenario. The 2018 prioritised EmONC network covers 78.3% (1-hour) and 95.5% (2-hour) of the population for the walking and motorised scenario.

conclusionsBy factoring in geographical accessibility modelling to our iterative EmONC prioritisation process, the MoH was able to decrease the designated number of EmONC facilities in Togo by about 30%, while still ensuring that a high proportion of the population has timely access to these services. However, the physical access to EmONC for women unable to afford motorised transport remains inequitable.

Indexed as

Emergency Medical ServicesObstetricsFemaleHealth FacilitiesHealth Services AccessibilityHumansInfant, NewbornTogomaternal medicineorganisation of health servicespublic health

Identifiers

PMID34330852
PMCPMC8327815
OpenAlexW3185484898

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.