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Validating the Global Surgery Geographical Accessibility Indicator: Differences in Modeled Versus Patient-Reported Travel Times

BACKGROUND: Since long travel times to reach health facilities are associated with worse outcomes, geographic accessibility is one of the six core global surgery indicators; this corresponds to the second of the “Three Delays Framework,” namely “delay in reaching a health facility.” Most attempts to...

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Autores principales: Rudolfson, Niclas, Gruendl, Magdalena, Nkurunziza, Theoneste, Kateera, Frederick, Sonderman, Kristin, Nihiwacu, Edison, Ramadhan, Bahati, Riviello, Robert, Hedt-Gauthier, Bethany
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266844/
https://www.ncbi.nlm.nih.gov/pubmed/32274536
http://dx.doi.org/10.1007/s00268-020-05480-8
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author Rudolfson, Niclas
Gruendl, Magdalena
Nkurunziza, Theoneste
Kateera, Frederick
Sonderman, Kristin
Nihiwacu, Edison
Ramadhan, Bahati
Riviello, Robert
Hedt-Gauthier, Bethany
author_facet Rudolfson, Niclas
Gruendl, Magdalena
Nkurunziza, Theoneste
Kateera, Frederick
Sonderman, Kristin
Nihiwacu, Edison
Ramadhan, Bahati
Riviello, Robert
Hedt-Gauthier, Bethany
author_sort Rudolfson, Niclas
collection PubMed
description BACKGROUND: Since long travel times to reach health facilities are associated with worse outcomes, geographic accessibility is one of the six core global surgery indicators; this corresponds to the second of the “Three Delays Framework,” namely “delay in reaching a health facility.” Most attempts to estimate this indicator have been based on geographical information systems (GIS) algorithms. The aim of our study was to compare GIS derived estimates to self-reported travel times for patients traveling to a district hospital in rural Rwanda for emergency obstetric care. METHODS: Our study includes 664 women who traveled to undergo a Cesarean delivery in Kirehe, Rwanda. We compared self-reported travel time from home to the hospital (excluding waiting time) with GIS estimated travel times, which were computed using the World Health Organization tool AccessMod, using linear regression. RESULTS: The majority of patients used multiple modes of transportation (walking = 48.5%, public transport = 74.2%, private transport = 2.9%, and ambulance 70.6%). Self-reported times were longer than GIS estimates by a factor of 1.49 (95% CI 1.40–1.57). Concordance was higher when the GIS model took into account that all patients in Rwanda are referred via their health center (β = 1.12; 95% CI 1.05–1.18). CONCLUSIONS: To our knowledge, in this largest to date GIS validation study for geographical access to healthcare in low- and middle-income countries, a standard GIS model was found to significantly underestimate real travel time, which likely is in part because it does not model the actual route patients are travelling. Therefore, previous studies of 2-h access to surgery will need to be interpreted with caution, and future studies should take local travelling conditions into account. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00268-020-05480-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-72668442020-06-12 Validating the Global Surgery Geographical Accessibility Indicator: Differences in Modeled Versus Patient-Reported Travel Times Rudolfson, Niclas Gruendl, Magdalena Nkurunziza, Theoneste Kateera, Frederick Sonderman, Kristin Nihiwacu, Edison Ramadhan, Bahati Riviello, Robert Hedt-Gauthier, Bethany World J Surg Surgery in Low and Middle Income Countries BACKGROUND: Since long travel times to reach health facilities are associated with worse outcomes, geographic accessibility is one of the six core global surgery indicators; this corresponds to the second of the “Three Delays Framework,” namely “delay in reaching a health facility.” Most attempts to estimate this indicator have been based on geographical information systems (GIS) algorithms. The aim of our study was to compare GIS derived estimates to self-reported travel times for patients traveling to a district hospital in rural Rwanda for emergency obstetric care. METHODS: Our study includes 664 women who traveled to undergo a Cesarean delivery in Kirehe, Rwanda. We compared self-reported travel time from home to the hospital (excluding waiting time) with GIS estimated travel times, which were computed using the World Health Organization tool AccessMod, using linear regression. RESULTS: The majority of patients used multiple modes of transportation (walking = 48.5%, public transport = 74.2%, private transport = 2.9%, and ambulance 70.6%). Self-reported times were longer than GIS estimates by a factor of 1.49 (95% CI 1.40–1.57). Concordance was higher when the GIS model took into account that all patients in Rwanda are referred via their health center (β = 1.12; 95% CI 1.05–1.18). CONCLUSIONS: To our knowledge, in this largest to date GIS validation study for geographical access to healthcare in low- and middle-income countries, a standard GIS model was found to significantly underestimate real travel time, which likely is in part because it does not model the actual route patients are travelling. Therefore, previous studies of 2-h access to surgery will need to be interpreted with caution, and future studies should take local travelling conditions into account. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00268-020-05480-8) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-04-09 2020 /pmc/articles/PMC7266844/ /pubmed/32274536 http://dx.doi.org/10.1007/s00268-020-05480-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Surgery in Low and Middle Income Countries
Rudolfson, Niclas
Gruendl, Magdalena
Nkurunziza, Theoneste
Kateera, Frederick
Sonderman, Kristin
Nihiwacu, Edison
Ramadhan, Bahati
Riviello, Robert
Hedt-Gauthier, Bethany
Validating the Global Surgery Geographical Accessibility Indicator: Differences in Modeled Versus Patient-Reported Travel Times
title Validating the Global Surgery Geographical Accessibility Indicator: Differences in Modeled Versus Patient-Reported Travel Times
title_full Validating the Global Surgery Geographical Accessibility Indicator: Differences in Modeled Versus Patient-Reported Travel Times
title_fullStr Validating the Global Surgery Geographical Accessibility Indicator: Differences in Modeled Versus Patient-Reported Travel Times
title_full_unstemmed Validating the Global Surgery Geographical Accessibility Indicator: Differences in Modeled Versus Patient-Reported Travel Times
title_short Validating the Global Surgery Geographical Accessibility Indicator: Differences in Modeled Versus Patient-Reported Travel Times
title_sort validating the global surgery geographical accessibility indicator: differences in modeled versus patient-reported travel times
topic Surgery in Low and Middle Income Countries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266844/
https://www.ncbi.nlm.nih.gov/pubmed/32274536
http://dx.doi.org/10.1007/s00268-020-05480-8
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