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New approaches to spatially analyse primary health care usage patterns in rural South Africa

New approaches to spatially analyse primary health care usage patterns in rural South Africa
New approaches to spatially analyse primary health care usage patterns in rural South Africa
OBJECTIVE: To develop indices to quantitatively assess and understand the spatial usage patterns of health facilities in the Hlabisa district of South Africa.

METHODOLOGY: We mapped and interviewed more than 23 000 homesteads (approximately 200 000 people) in Hlabisa district, South Africa and spatially analysed their modal primary health usage patterns using a geographical information system. We generated contour maps of health service use and quantified the relationship between clinic catchments and distance-defined catchments using inclusion and exclusion error. We propose the distance usage index (DUI) as an overall spatial measure of clinic usage. This index is the sum of the distances from clinic to all client homesteads divided by the sum of the distances from clinic to all homesteads within its distance-defined catchment. The index encompasses inclusion, exclusion, and strength of patient attraction for each clinic.

RESULTS: Eighty-seven per cent of homesteads use the nearest clinic. Residents of homesteads travel an average Euclidean distance of 4.72 km to attend clinics. There is a significant logarithmic relationship between distance from clinic and their use by homesteads (r(2)=0.774, P < 0.0001). The DUI values range between 31 and 198% (mean=110%, SD=43.7) for 12 clinics and highlight clinic usage patterns across the district.

CONCLUSIONS: The DUI is a powerful and informative composite measure of clinic usage. The results of the study have important implications for health care provision in developing countries.
1360-2276
826-838
Tanser, F.
b4ce79a2-0bf2-4021-89ad-0e759e2e2fc8
Hosegood, V.
c59a89d5-5edc-42dd-b282-f44458fd2993
Benzler, J.
6e155074-4090-4afb-b968-8324e2a63508
Solarsh, G.
cc0a772c-4098-461b-a851-9e31ce41f774
Tanser, F.
b4ce79a2-0bf2-4021-89ad-0e759e2e2fc8
Hosegood, V.
c59a89d5-5edc-42dd-b282-f44458fd2993
Benzler, J.
6e155074-4090-4afb-b968-8324e2a63508
Solarsh, G.
cc0a772c-4098-461b-a851-9e31ce41f774

Tanser, F., Hosegood, V., Benzler, J. and Solarsh, G. (2001) New approaches to spatially analyse primary health care usage patterns in rural South Africa. Tropical Medicine & International Health, 6 (10), 826-838. (doi:10.1046/j.1365-3156.2001.00794.x). (PMID:11679131)

Record type: Article

Abstract

OBJECTIVE: To develop indices to quantitatively assess and understand the spatial usage patterns of health facilities in the Hlabisa district of South Africa.

METHODOLOGY: We mapped and interviewed more than 23 000 homesteads (approximately 200 000 people) in Hlabisa district, South Africa and spatially analysed their modal primary health usage patterns using a geographical information system. We generated contour maps of health service use and quantified the relationship between clinic catchments and distance-defined catchments using inclusion and exclusion error. We propose the distance usage index (DUI) as an overall spatial measure of clinic usage. This index is the sum of the distances from clinic to all client homesteads divided by the sum of the distances from clinic to all homesteads within its distance-defined catchment. The index encompasses inclusion, exclusion, and strength of patient attraction for each clinic.

RESULTS: Eighty-seven per cent of homesteads use the nearest clinic. Residents of homesteads travel an average Euclidean distance of 4.72 km to attend clinics. There is a significant logarithmic relationship between distance from clinic and their use by homesteads (r(2)=0.774, P < 0.0001). The DUI values range between 31 and 198% (mean=110%, SD=43.7) for 12 clinics and highlight clinic usage patterns across the district.

CONCLUSIONS: The DUI is a powerful and informative composite measure of clinic usage. The results of the study have important implications for health care provision in developing countries.

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clinic usage paper.PDF - Author's Original
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Published date: October 2001
Organisations: Social Statistics & Demography

Identifiers

Local EPrints ID: 351952
URI: http://eprints.soton.ac.uk/id/eprint/351952
ISSN: 1360-2276
PURE UUID: fc59230e-3b3d-4e6f-912d-237e5522bbcb
ORCID for V. Hosegood: ORCID iD orcid.org/0000-0002-2244-2518

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Date deposited: 14 May 2013 11:25
Last modified: 15 Mar 2024 03:37

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Contributors

Author: F. Tanser
Author: V. Hosegood ORCID iD
Author: J. Benzler
Author: G. Solarsh

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