Approaches to defining health facility catchment areas in sub-Saharan Africa

Abstract

The geographical area around a health facility characterizing the population that utilizes some or all of its services, — a health facility catchment area (HFCA) —, forms the fundamental basis of estimating reliable population denominator for disease mapping and routine healthcare planning. Consequently, the approaches used to delineate the catchment area have a direct impact on the health of a population. To date, there is no systematic literature review documenting different approaches that have been used to define HFCAs while elucidating the implications on derived population denominators. To fill this gap, we systematically reviewed literature and documented approaches that have been used to define HFCA in sub —Saharan Africa (SSA). Simple to complex approaches have been used to define catchment areas in SSA with varying degrees of complexity and limitations in the last four decades. These approaches are mainly driven by lack of geocoded data on the residential address of care seekers and their care—seeking behaviour. To generate closer—to— reality HFCA, for robust disease mapping and healthcare planning, additional data and innovative approaches balancing between model complexity and routine programmatic use are required.

Spatial variation and clustering of anaemia prevalence in school-aged children in Western Kenya

“…The schools were mapped to the villages of each child (S1 Fig) using the children's geolocated residential addresses and the catchment was delineated by creating Thiessen Polygons in ArcMap V.10.5. This approach divides the area covered by point features (schools) into proximal zones such that any location within the zone is closer to its associated school than to any other school within the study area [27][28][29].…”