New approaches to spatially analyse primary health care usage patterns in rural South Africa
Article first published online: 13 JAN 2002
Tropical Medicine & International Health
Volume 6, Issue 10, pages 826–838, October 2001
How to Cite
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: 826–838. doi: 10.1046/j.1365-3156.2001.00794.x
- Issue published online: 13 JAN 2002
- Article first published online: 13 JAN 2002
- global positioning system;
- geographical information system;
- primary health care;
- 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 (r2=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.