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Mapping Geospatial Access to Comprehensive Cancer Care in Nigeria

PURPOSE: To address the increasing burden of cancer in Nigeria, the National Cancer Control Plan outlines the development of 8 public comprehensive cancer centers. We map population-level geospatial access to these eight centers and explore equity of access and the impact of future development. METH...

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Autores principales: Knapp, Gregory C., Tansley, Gavin, Olasehinde, Olalekan, Alatise, Olusegun I., Wuraola, Funmilola, Olawole, Moses O., Arije, Olujide O., Gali, Bata M., Kingham, T. Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Clinical Oncology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825250/
https://www.ncbi.nlm.nih.gov/pubmed/31634049
http://dx.doi.org/10.1200/JGO.19.00283
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author Knapp, Gregory C.
Tansley, Gavin
Olasehinde, Olalekan
Alatise, Olusegun I.
Wuraola, Funmilola
Olawole, Moses O.
Arije, Olujide O.
Gali, Bata M.
Kingham, T. Peter
author_facet Knapp, Gregory C.
Tansley, Gavin
Olasehinde, Olalekan
Alatise, Olusegun I.
Wuraola, Funmilola
Olawole, Moses O.
Arije, Olujide O.
Gali, Bata M.
Kingham, T. Peter
author_sort Knapp, Gregory C.
collection PubMed
description PURPOSE: To address the increasing burden of cancer in Nigeria, the National Cancer Control Plan outlines the development of 8 public comprehensive cancer centers. We map population-level geospatial access to these eight centers and explore equity of access and the impact of future development. METHODS: Geospatial methods were used to estimate population-level travel times to the 8 cancer centers. A cost distance model was built using open source road infrastructure data with verified speed limits. Geolocated population estimates were amalgamated with this model to calculate travel times to cancer centers at a national and regional level for both the entire population and the population living on < US$2 per day. RESULTS: Overall, 68.9% of Nigerians have access to a comprehensive cancer center at 4 hours of continuous vehicular travel. However, there is significant variability in access between geopolitical zones (P < .001). The North East has the lowest access at 4 hours (31.4%) and the highest mean travel times (268 minutes); this is significantly lower than the proportion with 4-hour access in the South East (31.4% v 85.0%, respectively; P < .001). The addition of a second comprehensive cancer center in the North East, in either Bauchi or Gombe, would significantly improve access to this underserved region. CONCLUSION: The Federal Ministry of Health endorses investment in 8 public comprehensive cancer centers. Strengthening these centers will allow the majority of Nigerians to access the full complement of multidisciplinary care within a reasonable time frame. However, geospatial access remains inequitable, and the impact on outcomes is unclear. This must be considered as the cancer control system matures and expands.
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spelling pubmed-68252502019-11-22 Mapping Geospatial Access to Comprehensive Cancer Care in Nigeria Knapp, Gregory C. Tansley, Gavin Olasehinde, Olalekan Alatise, Olusegun I. Wuraola, Funmilola Olawole, Moses O. Arije, Olujide O. Gali, Bata M. Kingham, T. Peter J Glob Oncol Original Reports PURPOSE: To address the increasing burden of cancer in Nigeria, the National Cancer Control Plan outlines the development of 8 public comprehensive cancer centers. We map population-level geospatial access to these eight centers and explore equity of access and the impact of future development. METHODS: Geospatial methods were used to estimate population-level travel times to the 8 cancer centers. A cost distance model was built using open source road infrastructure data with verified speed limits. Geolocated population estimates were amalgamated with this model to calculate travel times to cancer centers at a national and regional level for both the entire population and the population living on < US$2 per day. RESULTS: Overall, 68.9% of Nigerians have access to a comprehensive cancer center at 4 hours of continuous vehicular travel. However, there is significant variability in access between geopolitical zones (P < .001). The North East has the lowest access at 4 hours (31.4%) and the highest mean travel times (268 minutes); this is significantly lower than the proportion with 4-hour access in the South East (31.4% v 85.0%, respectively; P < .001). The addition of a second comprehensive cancer center in the North East, in either Bauchi or Gombe, would significantly improve access to this underserved region. CONCLUSION: The Federal Ministry of Health endorses investment in 8 public comprehensive cancer centers. Strengthening these centers will allow the majority of Nigerians to access the full complement of multidisciplinary care within a reasonable time frame. However, geospatial access remains inequitable, and the impact on outcomes is unclear. This must be considered as the cancer control system matures and expands. American Society of Clinical Oncology 2019-10-21 /pmc/articles/PMC6825250/ /pubmed/31634049 http://dx.doi.org/10.1200/JGO.19.00283 Text en © 2019 by American Society of Clinical Oncology https://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution Non-Commercial No Derivatives 4.0 License: https://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Original Reports
Knapp, Gregory C.
Tansley, Gavin
Olasehinde, Olalekan
Alatise, Olusegun I.
Wuraola, Funmilola
Olawole, Moses O.
Arije, Olujide O.
Gali, Bata M.
Kingham, T. Peter
Mapping Geospatial Access to Comprehensive Cancer Care in Nigeria
title Mapping Geospatial Access to Comprehensive Cancer Care in Nigeria
title_full Mapping Geospatial Access to Comprehensive Cancer Care in Nigeria
title_fullStr Mapping Geospatial Access to Comprehensive Cancer Care in Nigeria
title_full_unstemmed Mapping Geospatial Access to Comprehensive Cancer Care in Nigeria
title_short Mapping Geospatial Access to Comprehensive Cancer Care in Nigeria
title_sort mapping geospatial access to comprehensive cancer care in nigeria
topic Original Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825250/
https://www.ncbi.nlm.nih.gov/pubmed/31634049
http://dx.doi.org/10.1200/JGO.19.00283
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