Evidence map›Paper›PMID 32895051›Full record

ArticleBMC medicine2020

Measuring the availability and geographical accessibility of maternal health services across sub-Saharan Africa.

A S Wigley, N Tejedor-Garavito, V Alegana, A Carioli, C W Ruktanonchai, C Pezzulo, Z Matthews, A J Tatem, K Nilsen

Abstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Urban-Rural Disparities in Geographic Healthcare Accessibility: A Comparative Study of Nigeria and Zambia.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

A S WigleyWorldPop, Geography and Environmental Science, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, UK. a.s.wigley@soton.ac.uk.
N Tejedor-GaravitoWorldPop, Geography and Environmental Science, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, UK.
V AleganaWorldPop, Geography and Environmental Science, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, UK.
A CarioliWorldPop, Geography and Environmental Science, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, UK.
C W RuktanonchaiWorldPop, Geography and Environmental Science, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, UK.
C PezzuloWorldPop, Geography and Environmental Science, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, UK.
Z MatthewsDivision of Social Statistics and Demography & Centre for Global Health, Population, Poverty and Policy, Faculty of Social and Human Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
A J TatemWorldPop, Geography and Environmental Science, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, UK.
K NilsenWorldPop, Geography and Environmental Science, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, UK.

Funding

Wellcome Trust 204613/Z/16/ZWellcome Trust 211208/Z/18/Z
6 · The paper itself

Abstract

backgroundWith universal health coverage a key component of the 2030 Sustainable Development Goals, targeted monitoring is crucial for reducing inequalities in the provision of services. However, monitoring largely occurs at the national level, masking sub-national variation. Here, we estimate indicators for measuring the availability and geographical accessibility of services, at national and sub-national levels across sub-Saharan Africa, to show how data at varying spatial scales and input data can considerably impact monitoring outcomes.

methodsAvailability was estimated using the World Health Organization guidelines for monitoring emergency obstetric care, defined as the number of hospitals per 500,000 population. Geographical accessibility was estimated using the Lancet Commission on Global Surgery, defined as the proportion of pregnancies within 2 h of the nearest hospital. These were calculated using geo-located hospital data for sub-Saharan Africa, with their associated travel times, along with small area estimates of population and pregnancies. The results of the availability analysis were then compared to the results of the accessibility analysis, to highlight differences between the availability and geographical accessibility of services.

resultsDespite most countries meeting the targets at the national level, we identified substantial sub-national variation, with 58% of the countries having at least one administrative unit not meeting the availability target at province level and 95% at district level. Similarly, 56% of the countries were found to have at least one province not meeting the accessibility target, increasing to 74% at the district level. When comparing both availability and accessibility within countries, most countries were found to meet both targets; however sub-nationally, many countries fail to meet one or the other.

conclusionWhile many of the countries met the targets at the national level, we found large within-country variation. Monitoring under the current guidelines, using national averages, can mask these areas of need, with potential consequences for vulnerable women and children. It is imperative therefore that indicators for monitoring the availability and geographical accessibility of health care reflect this need, if targets for universal health coverage are to be met by 2030.

Indexed as

Africa South of the SaharaFemaleGeographyHealth Services AccessibilityHumansMaternal Health ServicesPregnancyEmergency obstetric careGISHealthcare accessibilityMaternal and newborn healthUniversal health coverage

Identifiers

PMID32895051
PMCPMC7487649

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.