| Title |
Geospatial Analysis of Unmet Surgical Need in Uganda: An Analysis of SOSAS Survey Data
|
|---|---|
| Published in |
World Journal of Surgery, August 2016
|
| DOI | 10.1007/s00268-016-3689-5 |
| Pubmed ID | |
| Authors |
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, Didacus B. Namanya, Jeffrey G. Chipman, Moses Galukande, Michael M. Haglund |
| Abstract |
Globally, 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. We 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. The 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. This 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. |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 15% |
| Uganda | 1 | 5% |
| Switzerland | 1 | 5% |
| Sweden | 1 | 5% |
| South Africa | 1 | 5% |
| Rwanda | 1 | 5% |
| Unknown | 12 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 65% |
| Practitioners (doctors, other healthcare professionals) | 4 | 20% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 20% |
| Other | 5 | 11% |
| Researcher | 4 | 9% |
| Student > Postgraduate | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Other | 10 | 22% |
| Unknown | 10 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 33% |
| Nursing and Health Professions | 7 | 15% |
| Social Sciences | 4 | 9% |
| Agricultural and Biological Sciences | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 11 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 January 2018.
All research outputs
#2,108,401
of 23,743,910 outputs
Outputs from World Journal of Surgery
#265
of 4,369 outputs
Outputs of similar age
#38,250
of 345,859 outputs
Outputs of similar age from World Journal of Surgery
#15
of 72 outputs
Altmetric has tracked 23,743,910 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,369 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 93% of its peers.
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We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.