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

INTRODUCTION: Despite 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 trave...

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Autores principales: Juran, Sabrina, Broer, P. Niclas, Klug, Stefanie J., Snow, Rachel C., Okiro, Emelda A., Ouma, Paul O., Snow, Robert W., Tatem, Andrew J., Meara, John G., Alegana, Victor A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104751/
https://www.ncbi.nlm.nih.gov/pubmed/30147944
http://dx.doi.org/10.1136/bmjgh-2018-000875
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author Juran, Sabrina
Broer, P. Niclas
Klug, Stefanie J.
Snow, Rachel C.
Okiro, Emelda A.
Ouma, Paul O.
Snow, Robert W.
Tatem, Andrew J.
Meara, John G.
Alegana, Victor A.
author_facet Juran, Sabrina
Broer, P. Niclas
Klug, Stefanie J.
Snow, Rachel C.
Okiro, Emelda A.
Ouma, Paul O.
Snow, Robert W.
Tatem, Andrew J.
Meara, John G.
Alegana, Victor A.
author_sort Juran, Sabrina
collection PubMed
description INTRODUCTION: Despite 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. METHODS: Major 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. RESULTS: Overall, 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. CONCLUSION: The 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.
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spelling pubmed-61047512018-08-24 Geospatial mapping of access to timely essential surgery in sub-Saharan Africa Juran, Sabrina Broer, P. Niclas Klug, Stefanie J. Snow, Rachel C. Okiro, Emelda A. Ouma, Paul O. Snow, Robert W. Tatem, Andrew J. Meara, John G. Alegana, Victor A. BMJ Glob Health Research INTRODUCTION: Despite 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. METHODS: Major 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. RESULTS: Overall, 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. CONCLUSION: The 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. BMJ Publishing Group 2018-08-16 /pmc/articles/PMC6104751/ /pubmed/30147944 http://dx.doi.org/10.1136/bmjgh-2018-000875 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Research
Juran, Sabrina
Broer, P. Niclas
Klug, Stefanie J.
Snow, Rachel C.
Okiro, Emelda A.
Ouma, Paul O.
Snow, Robert W.
Tatem, Andrew J.
Meara, John G.
Alegana, Victor A.
Geospatial mapping of access to timely essential surgery in sub-Saharan Africa
title Geospatial mapping of access to timely essential surgery in sub-Saharan Africa
title_full Geospatial mapping of access to timely essential surgery in sub-Saharan Africa
title_fullStr Geospatial mapping of access to timely essential surgery in sub-Saharan Africa
title_full_unstemmed Geospatial mapping of access to timely essential surgery in sub-Saharan Africa
title_short Geospatial mapping of access to timely essential surgery in sub-Saharan Africa
title_sort geospatial mapping of access to timely essential surgery in sub-saharan africa
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104751/
https://www.ncbi.nlm.nih.gov/pubmed/30147944
http://dx.doi.org/10.1136/bmjgh-2018-000875
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