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Quantifying the Impact of Accessibility on Preventive Healthcare in Sub-Saharan Africa Using Mobile Phone Data
BACKGROUND: Poor physical access to health facilities has been identified as an important contributor to reduced uptake of preventive health services and is likely to be most critical in low-income settings. However, the relation among physical access, travel behavior, and the uptake of healthcare i...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4323566/ https://www.ncbi.nlm.nih.gov/pubmed/25643101 http://dx.doi.org/10.1097/EDE.0000000000000239 |
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author | Wesolowski, Amy O’Meara, Wendy Prudhomme Tatem, Andrew J. Ndege, Samson Eagle, Nathan Buckee, Caroline O. |
author_facet | Wesolowski, Amy O’Meara, Wendy Prudhomme Tatem, Andrew J. Ndege, Samson Eagle, Nathan Buckee, Caroline O. |
author_sort | Wesolowski, Amy |
collection | PubMed |
description | BACKGROUND: Poor physical access to health facilities has been identified as an important contributor to reduced uptake of preventive health services and is likely to be most critical in low-income settings. However, the relation among physical access, travel behavior, and the uptake of healthcare is difficult to quantify. METHODS: Using anonymized mobile phone data from 2008 to 2009, we analyze individual and spatially aggregated travel patterns of 14,816,521 subscribers across Kenya and compare these measures to (1) estimated travel times to health facilities and (2) data on the uptake of 2 preventive healthcare interventions in an area of western Kenya: childhood immunizations and antenatal care. RESULTS: We document that long travel times to health facilities are strongly correlated with increased mobility in geographically isolated areas. Furthermore, we found that in areas with equal physical access to healthcare, mobile phone-derived measures of mobility predict which regions are lacking preventive care. CONCLUSIONS: Routinely collected mobile phone data provide a simple and low-cost approach to mapping the uptake of preventive healthcare in low-income settings. |
format | Online Article Text |
id | pubmed-4323566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-43235662015-02-17 Quantifying the Impact of Accessibility on Preventive Healthcare in Sub-Saharan Africa Using Mobile Phone Data Wesolowski, Amy O’Meara, Wendy Prudhomme Tatem, Andrew J. Ndege, Samson Eagle, Nathan Buckee, Caroline O. Epidemiology Methods BACKGROUND: Poor physical access to health facilities has been identified as an important contributor to reduced uptake of preventive health services and is likely to be most critical in low-income settings. However, the relation among physical access, travel behavior, and the uptake of healthcare is difficult to quantify. METHODS: Using anonymized mobile phone data from 2008 to 2009, we analyze individual and spatially aggregated travel patterns of 14,816,521 subscribers across Kenya and compare these measures to (1) estimated travel times to health facilities and (2) data on the uptake of 2 preventive healthcare interventions in an area of western Kenya: childhood immunizations and antenatal care. RESULTS: We document that long travel times to health facilities are strongly correlated with increased mobility in geographically isolated areas. Furthermore, we found that in areas with equal physical access to healthcare, mobile phone-derived measures of mobility predict which regions are lacking preventive care. CONCLUSIONS: Routinely collected mobile phone data provide a simple and low-cost approach to mapping the uptake of preventive healthcare in low-income settings. Lippincott Williams & Wilkins 2015-03 2015-02-03 /pmc/articles/PMC4323566/ /pubmed/25643101 http://dx.doi.org/10.1097/EDE.0000000000000239 Text en Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives 3.0 License, where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially. |
spellingShingle | Methods Wesolowski, Amy O’Meara, Wendy Prudhomme Tatem, Andrew J. Ndege, Samson Eagle, Nathan Buckee, Caroline O. Quantifying the Impact of Accessibility on Preventive Healthcare in Sub-Saharan Africa Using Mobile Phone Data |
title | Quantifying the Impact of Accessibility on Preventive Healthcare in Sub-Saharan Africa Using Mobile Phone Data |
title_full | Quantifying the Impact of Accessibility on Preventive Healthcare in Sub-Saharan Africa Using Mobile Phone Data |
title_fullStr | Quantifying the Impact of Accessibility on Preventive Healthcare in Sub-Saharan Africa Using Mobile Phone Data |
title_full_unstemmed | Quantifying the Impact of Accessibility on Preventive Healthcare in Sub-Saharan Africa Using Mobile Phone Data |
title_short | Quantifying the Impact of Accessibility on Preventive Healthcare in Sub-Saharan Africa Using Mobile Phone Data |
title_sort | quantifying the impact of accessibility on preventive healthcare in sub-saharan africa using mobile phone data |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4323566/ https://www.ncbi.nlm.nih.gov/pubmed/25643101 http://dx.doi.org/10.1097/EDE.0000000000000239 |
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