Evidence map›Paper›PMID 30147944›Full record

ArticleBMJ global health2018

Geospatial mapping of access to timely essential surgery in sub-Saharan Africa.

Sabrina Juran, P Niclas Broer, Stefanie J Klug, Rachel C Snow, Emelda A Okiro, Paul O Ouma, Robert W Snow, Andrew J Tatem, John G Meara, Victor A Alegana

Abstract read
In one paragraph

Article in BMJ global health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 3 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

69 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Observational
  15. The Burden of Plastic Surgery in Rural Kenya: The Kapsowar Hospital Experience.Plastic and reconstructive surgery. Global open · 2024
    Article
  16. Article
  17. Article
  18. Geospatial determinants of health: A global surgery lens.Journal of the colleges of medicine of South Africa · 2024
    Article
  19. Article
  20. Review

9 more citing papers are in PubMed but not listed here.

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

10 authors.

Sabrina JuranUnited Nations Population Fund, Technical Division, Population and Development Branch, New York City, New York, USA.
P Niclas BroerKlinikum Bogenhausen, Städtisches Klinikum München, Technische Universität München, München, Germany.
Stefanie J KlugLehrstuhl für Epidemiologie, Technische Universität München, München, Germany.
Rachel C SnowUnited Nations Population Fund, Technical Division, Population and Development Branch, New York City, New York, USA.
Emelda A OkiroKenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya.
Paul O OumaKenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya.
Robert W SnowKenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya.
Andrew J TatemWorldPop, Geography and Environment, University of Southampton, Southampton, UK.
John G MearaProgram in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA.
Victor A AleganaWorldPop, Geography and Environment, University of Southampton, Southampton, UK.ORCID 0000-0001-5177-9227

Funding

Wellcome Trust 201866/Z/16/Z
6 · The paper itself

Abstract

introductionDespite an estimated one-third of the global burden of disease being surgical, only limited estimates of accessibility to surgical treatment in sub-Saharan Africa exist and these remain spatially undefined. Geographical metrics of access to major hospitals were estimated based on travel time. Estimates were then used to assess need for surgery at country level.

methodsMajor district and regional hospitals were assumed to have capability to perform bellwether procedures. Geographical locations of hospitals in relation to the population in the 47 sub-Saharan countries were combined with spatial ancillary data on roads, elevation, land use or land cover to estimate travel-time metrics of 30 min, 1 hour and 2 hours. Hospital catchment was defined as population residing in areas less than 2 hours of travel time to the next major hospital. Travel-time metrics were combined with fine-scale population maps to define burden of surgery at hospital catchment level.

resultsOverall, the majority of the population (92.5%) in sub-Saharan Africa reside in areas within 2 hours of a major hospital catchment defined based on spatially defined travel times. The burden of surgery in all-age population was 257.8 million to 294.7 million people and was highest in high-population density countries and lowest in sparsely populated or smaller countries. The estimated burden in children <15 years was 115.3 million to 131.8 million and had similar spatial distribution to the all-age pattern.

conclusionThe study provides an assessment of accessibility and burden of surgical disease in sub-Saharan Africa. Yet given the optimistic assumption of adequare surgical capability of major hospitals, the true burden of surgical disease is expected to be much greater. In-depth health facility assessments are needed to define infrastructure, personnel and medicine supply for delivering timely and safe affordable surgery to further inform the analysis.

Indexed as

catchment populationgeospatial analysisglobal surgeryspatial modellingsub-Saharn Africauniversal health coverage

Identifiers

PMID30147944
PMCPMC6104751

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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.