Evidence map›Paper›PMID 27539489›Full record

ArticleWorld journal of surgery2017

Geospatial Analysis of Unmet Surgical Need in Uganda: An Analysis of SOSAS Survey Data.

S Harrison Farber, Joao Ricardo Nickenig Vissoci, Tu M Tran, Anthony T Fuller, Elissa K Butler, Luciano Andrade, Catherine Staton, Fredrick Makumbi, Samuel Luboga, Christine Muhumuza and 4 more

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Article in World journal of surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

14 authors.

S Harrison FarberDuke University School of Medicine, Durham, NC, USA.
Joao Ricardo Nickenig VissociDivision of Duke Global Neurosurgery and Neuroscience, Department of Neurosurgery, Duke University Medical Center, 4508 Hospital South, Durham, NC, 27710, USA.
Tu M TranDivision of Duke Global Neurosurgery and Neuroscience, Department of Neurosurgery, Duke University Medical Center, 4508 Hospital South, Durham, NC, 27710, USA.
Anthony T FullerDuke University School of Medicine, Durham, NC, USA.
Elissa K ButlerUniversity of Minnesota Medical School, Minneapolis, MN, USA.
Luciano AndradeDivision of Duke Global Neurosurgery and Neuroscience, Department of Neurosurgery, Duke University Medical Center, 4508 Hospital South, Durham, NC, 27710, USA.
Catherine StatonDivision of Duke Global Neurosurgery and Neuroscience, Department of Neurosurgery, Duke University Medical Center, 4508 Hospital South, Durham, NC, 27710, USA.
Fredrick MakumbiMakerere University School of Public Health, Kampala, Uganda.
Samuel LubogaDepartment of Anatomy, Makerere University School of Medicine, Kampala, Uganda.
Christine MuhumuzaMakerere University School of Public Health, Kampala, Uganda.
Didacus B NamanyaMinistry of Health, Government of Uganda, Kampala, Uganda.
Jeffrey G ChipmanDepartment of Surgery, University of Minnesota, Minneapolis, MN, USA.
Moses GalukandeDepartment of Surgery, Makerere University College of Health Sciences, Kampala, Uganda.
Michael M HaglundDivision of Duke Global Neurosurgery and Neuroscience, Department of Neurosurgery, Duke University Medical Center, 4508 Hospital South, Durham, NC, 27710, USA. michael.haglund@duke.edu.

Funding

Addressing High Risk Alcohol Use Amongst Injury Patients in an Emergency Department in TanzaniaK01TW010000 · FIC · DUKE UNIVERSITY · PI STATON, CATHERINE ANN · 2015 to 2018
$477k
FIC NIH HHS K01 TW010000NIAAA NIH HHS L30 AA025227
6 · The paper itself

Abstract

backgroundGlobally, a staggering five billion people lack access to adequate surgical care. Sub-Saharan Africa represents one of the regions of greatest need. We sought to understand how geographic factors related to unmet surgical need (USN) in Uganda.

methodsWe performed a geographic information system analysis of a nationwide survey on surgical conditions performed in 105 enumeration areas (EAs) representing the national population. At the district level, we determined the spatial autocorrelation of the following study variables: prevalence of USN, hub distance (distance from EA to the nearest surgical center), area of coverage (geographic catchment area of each center), tertiary facility transport time (average respondent-reported travel time), and care availability (rate of hospital beds by population and by district). We then used local indicators of spatial association (LISA) and spatial regression to identify any significant clustering of these study variables among the districts.

resultsThe survey enumerated 4248 individuals. The prevalence of USN varied from 2.0-45 %. The USN prevalence was highest in the Northern and Western Regions. Moran's I bivariate analysis indicated a positive correlation between USN and hub distance (p = 0.03), area of coverage (p = 0.02), and facility transport time (p = 0.03). These associations were consistent nationally. The LISA analysis showed a high degree of clustering among sets of districts in the Northern Sub-Region.

conclusionsThis study demonstrates a statistically significant association between USN and the geographic variables examined. We have identified the Northern Sub-Region as the highest priority areas for financial investment to reduce this unmet surgical disease burden.

Indexed as

Geographic Information SystemsHealth Services Needs and DemandMedically Underserved AreaHealth FacilitiesHumansSpatial RegressionSurgical Procedures, OperativeUganda

Identifiers

PMID27539489

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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.