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Modelling distances travelled to government health services in Kenya

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Modelling distances travelled to government health services in Kenya. / Noor, Abdisalan M.; Amin, Abdinasir A.; Gething, Peter W. et al.
In: Tropical Medicine and International Health, Vol. 11, No. 2, 02.2006, p. 188-196.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Noor, AM, Amin, AA, Gething, PW, Atkinson, PM, Hay, SI & Snow, RW 2006, 'Modelling distances travelled to government health services in Kenya', Tropical Medicine and International Health, vol. 11, no. 2, pp. 188-196. https://doi.org/10.1111/j.1365-3156.2005.01555.x

APA

Noor, A. M., Amin, A. A., Gething, P. W., Atkinson, P. M., Hay, S. I., & Snow, R. W. (2006). Modelling distances travelled to government health services in Kenya. Tropical Medicine and International Health, 11(2), 188-196. https://doi.org/10.1111/j.1365-3156.2005.01555.x

Vancouver

Noor AM, Amin AA, Gething PW, Atkinson PM, Hay SI, Snow RW. Modelling distances travelled to government health services in Kenya. Tropical Medicine and International Health. 2006 Feb;11(2):188-196. doi: 10.1111/j.1365-3156.2005.01555.x

Author

Noor, Abdisalan M. ; Amin, Abdinasir A. ; Gething, Peter W. et al. / Modelling distances travelled to government health services in Kenya. In: Tropical Medicine and International Health. 2006 ; Vol. 11, No. 2. pp. 188-196.

Bibtex

@article{e266832c02374e539eb7d4361f36fe7b,
title = "Modelling distances travelled to government health services in Kenya",
abstract = "ObjectiveTo systematically evaluate descriptive measures of spatial access to medical treatment, as part of the millennium development goals to reduce the burden of HIV/AIDS, tuberculosis and malaria.MethodsWe obtained high-resolution spatial and epidemiological data on health services, population, transport network, topography, land cover and paediatric fever treatment in four Kenyan districts to develop access and use models for government health services in Kenya. Community survey data were used to model use of government health services by febrile children. A model based on the transport network was then implemented and adjusted for actual use patterns. We compared the predictive accuracy of this refined model to that of Euclidean distance metrics.ResultsHigher-order facilities were more attractive to patients (54%, 58% and 60% in three scenarios) than lower-order ones. The transport network model, adjusted for competition between facilities, was most accurate and selected as the best-fit model. It estimated that 63% of the population of the study districts were within the 1 h national access benchmark, against 82% estimated by the Euclidean model.ConclusionsExtrapolating the results from the best-fit model in study districts to the national level shows that approximately six million people are currently incorrectly estimated to have access to government health services within 1 h. Simple Euclidean distance assumptions, which underpin needs assessments and against which millennium development goals are evaluated, thus require reconsideration.",
keywords = "millennium development goals, health services, access, use, distance models, Kenya",
author = "Noor, {Abdisalan M.} and Amin, {Abdinasir A.} and Gething, {Peter W.} and Atkinson, {Peter M.} and Hay, {Simon I.} and Snow, {Robert W.}",
note = "M1 - 2",
year = "2006",
month = feb,
doi = "10.1111/j.1365-3156.2005.01555.x",
language = "English",
volume = "11",
pages = "188--196",
journal = "Tropical Medicine and International Health",
issn = "1365-3156",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS

TY - JOUR

T1 - Modelling distances travelled to government health services in Kenya

AU - Noor, Abdisalan M.

AU - Amin, Abdinasir A.

AU - Gething, Peter W.

AU - Atkinson, Peter M.

AU - Hay, Simon I.

AU - Snow, Robert W.

N1 - M1 - 2

PY - 2006/2

Y1 - 2006/2

N2 - ObjectiveTo systematically evaluate descriptive measures of spatial access to medical treatment, as part of the millennium development goals to reduce the burden of HIV/AIDS, tuberculosis and malaria.MethodsWe obtained high-resolution spatial and epidemiological data on health services, population, transport network, topography, land cover and paediatric fever treatment in four Kenyan districts to develop access and use models for government health services in Kenya. Community survey data were used to model use of government health services by febrile children. A model based on the transport network was then implemented and adjusted for actual use patterns. We compared the predictive accuracy of this refined model to that of Euclidean distance metrics.ResultsHigher-order facilities were more attractive to patients (54%, 58% and 60% in three scenarios) than lower-order ones. The transport network model, adjusted for competition between facilities, was most accurate and selected as the best-fit model. It estimated that 63% of the population of the study districts were within the 1 h national access benchmark, against 82% estimated by the Euclidean model.ConclusionsExtrapolating the results from the best-fit model in study districts to the national level shows that approximately six million people are currently incorrectly estimated to have access to government health services within 1 h. Simple Euclidean distance assumptions, which underpin needs assessments and against which millennium development goals are evaluated, thus require reconsideration.

AB - ObjectiveTo systematically evaluate descriptive measures of spatial access to medical treatment, as part of the millennium development goals to reduce the burden of HIV/AIDS, tuberculosis and malaria.MethodsWe obtained high-resolution spatial and epidemiological data on health services, population, transport network, topography, land cover and paediatric fever treatment in four Kenyan districts to develop access and use models for government health services in Kenya. Community survey data were used to model use of government health services by febrile children. A model based on the transport network was then implemented and adjusted for actual use patterns. We compared the predictive accuracy of this refined model to that of Euclidean distance metrics.ResultsHigher-order facilities were more attractive to patients (54%, 58% and 60% in three scenarios) than lower-order ones. The transport network model, adjusted for competition between facilities, was most accurate and selected as the best-fit model. It estimated that 63% of the population of the study districts were within the 1 h national access benchmark, against 82% estimated by the Euclidean model.ConclusionsExtrapolating the results from the best-fit model in study districts to the national level shows that approximately six million people are currently incorrectly estimated to have access to government health services within 1 h. Simple Euclidean distance assumptions, which underpin needs assessments and against which millennium development goals are evaluated, thus require reconsideration.

KW - millennium development goals

KW - health services

KW - access

KW - use

KW - distance models

KW - Kenya

U2 - 10.1111/j.1365-3156.2005.01555.x

DO - 10.1111/j.1365-3156.2005.01555.x

M3 - Journal article

VL - 11

SP - 188

EP - 196

JO - Tropical Medicine and International Health

JF - Tropical Medicine and International Health

SN - 1365-3156

IS - 2

ER -