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Empirical modelling of government health service use by children with fevers in Kenya

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Empirical modelling of government health service use by children with fevers in Kenya. / Gething, Peter W.; Noor, Abdisalan M.; Zurovac, Dejan et al.
In: Acta Tropica, Vol. 91, No. 3, 08.2004, p. 227-237.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Gething, PW, Noor, AM, Zurovac, D, Atkinson, PM, Hay, SI, Nixon, MS & Snow, RW 2004, 'Empirical modelling of government health service use by children with fevers in Kenya', Acta Tropica, vol. 91, no. 3, pp. 227-237. https://doi.org/10.1016/j.actatropica.2004.05.002

APA

Gething, P. W., Noor, A. M., Zurovac, D., Atkinson, P. M., Hay, S. I., Nixon, M. S., & Snow, R. W. (2004). Empirical modelling of government health service use by children with fevers in Kenya. Acta Tropica, 91(3), 227-237. https://doi.org/10.1016/j.actatropica.2004.05.002

Vancouver

Gething PW, Noor AM, Zurovac D, Atkinson PM, Hay SI, Nixon MS et al. Empirical modelling of government health service use by children with fevers in Kenya. Acta Tropica. 2004 Aug;91(3):227-237. Epub 2004 Jun 19. doi: 10.1016/j.actatropica.2004.05.002

Author

Gething, Peter W. ; Noor, Abdisalan M. ; Zurovac, Dejan et al. / Empirical modelling of government health service use by children with fevers in Kenya. In: Acta Tropica. 2004 ; Vol. 91, No. 3. pp. 227-237.

Bibtex

@article{021b64815b9647aba243f5bafca1842d,
title = "Empirical modelling of government health service use by children with fevers in Kenya",
abstract = "An understanding of spatial patterns of health facility use allows a more informed approach to the modelling of catchment populations. In the absence of patient use data, an intuitive and commonly used approach to the delineation of facility catchment areas is Thiessen polygons. This study presents a series of methods by which the validity of these assumptions can be tested directly and hence the suitability of a Thiessen polygon catchment model explicitly assessed. These methods are applied to paediatric out-patient origin data from a sample of 81 government health facilities in four districts of Kenya. A geographical information system was used to predict the location of the catchment boundary along a transect between each pair of neighbouring facilities based on patient choice patterns. The mean location of boundaries between facilities of different type was found to be significantly displaced from the Thiessen boundary towards the lower-order facility. The affect of distance on within-catchment utilization rate was assessed by using exclusion buffers to remove the effect of neighbouring facilities. Utilization rate was found to exhibit a slight but steady decrease with distance up to 6 km from a facility. The accuracy of the future modelling of unsampled facility catchments can be increased by the incorporation of these trends.",
keywords = "Health services, Fevers, Thiessen polygons, Utilization rate, Kenya",
author = "Gething, {Peter W.} and Noor, {Abdisalan M.} and Dejan Zurovac and Atkinson, {Peter M.} and Hay, {Simon I.} and Nixon, {Mark S.} and Snow, {Robert W.}",
note = "M1 - 3",
year = "2004",
month = aug,
doi = "10.1016/j.actatropica.2004.05.002",
language = "English",
volume = "91",
pages = "227--237",
journal = "Acta Tropica",
issn = "0001-706X",
publisher = "Elsevier",
number = "3",

}

RIS

TY - JOUR

T1 - Empirical modelling of government health service use by children with fevers in Kenya

AU - Gething, Peter W.

AU - Noor, Abdisalan M.

AU - Zurovac, Dejan

AU - Atkinson, Peter M.

AU - Hay, Simon I.

AU - Nixon, Mark S.

AU - Snow, Robert W.

N1 - M1 - 3

PY - 2004/8

Y1 - 2004/8

N2 - An understanding of spatial patterns of health facility use allows a more informed approach to the modelling of catchment populations. In the absence of patient use data, an intuitive and commonly used approach to the delineation of facility catchment areas is Thiessen polygons. This study presents a series of methods by which the validity of these assumptions can be tested directly and hence the suitability of a Thiessen polygon catchment model explicitly assessed. These methods are applied to paediatric out-patient origin data from a sample of 81 government health facilities in four districts of Kenya. A geographical information system was used to predict the location of the catchment boundary along a transect between each pair of neighbouring facilities based on patient choice patterns. The mean location of boundaries between facilities of different type was found to be significantly displaced from the Thiessen boundary towards the lower-order facility. The affect of distance on within-catchment utilization rate was assessed by using exclusion buffers to remove the effect of neighbouring facilities. Utilization rate was found to exhibit a slight but steady decrease with distance up to 6 km from a facility. The accuracy of the future modelling of unsampled facility catchments can be increased by the incorporation of these trends.

AB - An understanding of spatial patterns of health facility use allows a more informed approach to the modelling of catchment populations. In the absence of patient use data, an intuitive and commonly used approach to the delineation of facility catchment areas is Thiessen polygons. This study presents a series of methods by which the validity of these assumptions can be tested directly and hence the suitability of a Thiessen polygon catchment model explicitly assessed. These methods are applied to paediatric out-patient origin data from a sample of 81 government health facilities in four districts of Kenya. A geographical information system was used to predict the location of the catchment boundary along a transect between each pair of neighbouring facilities based on patient choice patterns. The mean location of boundaries between facilities of different type was found to be significantly displaced from the Thiessen boundary towards the lower-order facility. The affect of distance on within-catchment utilization rate was assessed by using exclusion buffers to remove the effect of neighbouring facilities. Utilization rate was found to exhibit a slight but steady decrease with distance up to 6 km from a facility. The accuracy of the future modelling of unsampled facility catchments can be increased by the incorporation of these trends.

KW - Health services

KW - Fevers

KW - Thiessen polygons

KW - Utilization rate

KW - Kenya

U2 - 10.1016/j.actatropica.2004.05.002

DO - 10.1016/j.actatropica.2004.05.002

M3 - Journal article

VL - 91

SP - 227

EP - 237

JO - Acta Tropica

JF - Acta Tropica

SN - 0001-706X

IS - 3

ER -