Evidence map›Paper›PMID 36045351›Full record

ArticleBMC pregnancy and childbirth2022

Distance is "a big problem": a geographic analysis of reported and modelled proximity to maternal health services in Ghana.

Winfred Dotse-Gborgbortsi, Kristine Nilsen, Anthony Ofosu, Zoë Matthews, Natalia Tejedor-Garavito, Jim Wright, Andrew J Tatem

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
20.2field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

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  5. Antenatal care in Meghalaya - An Uphill Battle: A Community-based Study of Drivers and Barriers of Antenatal Care Utilization.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
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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

7 authors at 2 institutions in 2 countries.

Winfred Dotse-GborgbortsiSchool of Geography and Environmental Science, University of Southampton, Southampton, S017 1BJ, UK. w.w.dotse-gborgbortsi@soton.ac.uk.
Kristine NilsenWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Anthony OfosuGhana Health Service, Headquarters, Accra, Ghana.
Zoë MatthewsDepartment of Social Statistics and Demography, University of Southampton, Southampton, UK.
Natalia Tejedor-GaravitoSchool of Geography and Environmental Science, University of Southampton, Southampton, S017 1BJ, UK.
Jim WrightSchool of Geography and Environmental Science, University of Southampton, Southampton, S017 1BJ, UK.
Andrew J TatemSchool of Geography and Environmental Science, University of Southampton, Southampton, S017 1BJ, UK.
University of Southampton · GBGhana Health Service · GH

Funding

Bill & Melinda Gates Foundation INV-007594
6 · The paper itself

Abstract

backgroundGeographic barriers to healthcare are associated with adverse maternal health outcomes. Modelling travel times using georeferenced data is becoming common in quantifying physical access. Multiple Demographic and Health Surveys ask women about distance-related problems accessing healthcare, but responses have not been evaluated against modelled travel times. This cross-sectional study aims to compare reported and modelled distance by socio-demographic characteristics and evaluate their relationship with skilled birth attendance. Also, we assess the socio-demographic factors associated with self-reported distance problems in accessing healthcare.

methodsDistance problems and socio-demographic characteristics reported by 2210 women via the 2017 Ghana Maternal Health Survey were included in analysis. Geospatial methods were used to model travel time to the nearest health facility using roads, rivers, land cover, travel speeds, cluster locations and health facility locations. Logistic regressions were used to predict skilled birth attendance and self-reported distance problems.

resultsWomen reporting distance challenges accessing healthcare had significantly longer travel times to the nearest health facility. Poverty significantly increased the odds of reporting challenges with distance. In contrast, living in urban areas and being registered with health insurance reduced the odds of reporting distance challenges. Women with a skilled attendant at birth, four or more skilled antenatal appointments and timely skilled postnatal care had shorter travel times to the nearest health facility. Generally, less educated, poor, rural women registered with health insurance had longer travel times to their nearest health facility. After adjusting for socio-demographic characteristics, the following factors increased the odds of skilled birth attendance: wealth, health insurance, higher education, living in urban areas, and completing four or more antenatal care appointments.

conclusionStudies relying on modelled travel times to nearest facility should recognise the differential impact of geographic access to healthcare on poor rural women. Physical access to maternal health care should be scaled up in rural areas and utilisation increased by improving livelihoods.

Indexed as

Maternal Health ServicesCross-Sectional StudiesDelivery, ObstetricFemaleGhanaHealth Services AccessibilityHumansInfant, NewbornPregnancyPrenatal CareAccessibility of health servicesChildbirthGeographic information systemsHealthcare disparitiesMaternal health servicesSpatial analysis

Identifiers

PMID36045351
PMCPMC9429654
OpenAlexW4293747416

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.