The impact of road construction on the spatial characteristics of hospital utilization in the Meru district of Kenya

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

“…Overall, in SSA, there is a scarcity of geocoded data on patients’ residential addresses linked with the facility where care was sought which is the gold standard in defining a HFCA (Table 2). As a result, only six studies utilized such data [8–10,12,83–87], while six other studies either relied on MoH-derived HFCA [26,28,36] or used participatory GIS to collect data needed to delineate spatial extents of HFCAs [13,80–82]. The rest of the approaches used a variety of methods, with varying degrees of representativeness to delineate HFCA…”

“…Overall, in SSA, there is a scarcity of geocoded data on patients' residential addresses linked with the facility where care was sought which is the gold standard in defining a HFCA (Table 2). As a result, only six studies utilized such data [8][9][10]12,[83][84][85][86][87], while six other studies either relied on MoH-derived HFCA [26,28,36] or used participatory GIS to collect data needed to delineate spatial extents of HFCAs [13,[80][81][82]. The rest of the approaches used a variety of methods, with varying degrees of representativeness to delineate HFCA Three commonly used approaches; administrative boundaries, buffers, and Thiessen polygons are limited because they oversimplify socio-demographic, epidemiological and health-seeking characteristics of communities when deriving HFCA (Table 1).…”

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

“…Overall, in SSA, there is a scarcity of geocoded data on patients’ residential addresses linked with the facility where care was sought which is the gold standard in defining a HFCA (Table 2). As a result, only six studies utilized such data [8–10,12,83–87], while six other studies either relied on MoH-derived HFCA [26,28,36] or used participatory GIS to collect data needed to delineate spatial extents of HFCAs [13,80–82]. The rest of the approaches used a variety of methods, with varying degrees of representativeness to delineate HFCA…”

“…Overall, in SSA, there is a scarcity of geocoded data on patients' residential addresses linked with the facility where care was sought which is the gold standard in defining a HFCA (Table 2). As a result, only six studies utilized such data [8][9][10]12,[83][84][85][86][87], while six other studies either relied on MoH-derived HFCA [26,28,36] or used participatory GIS to collect data needed to delineate spatial extents of HFCAs [13,[80][81][82]. The rest of the approaches used a variety of methods, with varying degrees of representativeness to delineate HFCA Three commonly used approaches; administrative boundaries, buffers, and Thiessen polygons are limited because they oversimplify socio-demographic, epidemiological and health-seeking characteristics of communities when deriving HFCA (Table 1).…”

The impact of distance of residence from a peripheral health facility on pediatric health utilisation in rural western Kenya

“…As such, the gradient of time expended in visiting the clinic would increase steeply as distance from the clinic increased. In other African settings where other forms of public transport exist, physical distance might be less of a factor in clinic visitation than the cost of transport (Airey 1992;Weber et al. 2002).…”

“…2002). In a study in central Kenya, the building of a new tarmac road resulted in little decrease in the distance‐decay effect, probably because most patients travelled by public transport and the cost of such transport did not fall with the new road (Airey 1992).…”

“…As such, the gradient of time expended in visiting the clinic would increase steeply as distance from the clinic increased. In other African settings where other forms of public transport exist, physical distance might be less of a factor in clinic visitation than the cost of transport (Airey 1992;Weber et al 2002). In a study in central Kenya, the building of a new tarmac road resulted in little decrease in the distance-decay effect, probably because most patients travelled by public transport and the cost of such transport did not fall with the new road (Airey 1992).…”

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

“…Overall, in SSA, there is a scarcity of geocoded data on patients’ residential addresses linked with the facility where care was sought which is the gold standard in defining a HFCA (Table 2). As a result, only six studies utilized such data [8–10,12,83–87], while six other studies either relied on MoH-derived HFCA [26,28,36] or used participatory GIS to collect data needed to delineate spatial extents of HFCAs [13,80–82]. The rest of the approaches used a variety of methods, with varying degrees of representativeness to delineate HFCA…”

“…Overall, in SSA, there is a scarcity of geocoded data on patients' residential addresses linked with the facility where care was sought which is the gold standard in defining a HFCA (Table 2). As a result, only six studies utilized such data [8][9][10]12,[83][84][85][86][87], while six other studies either relied on MoH-derived HFCA [26,28,36] or used participatory GIS to collect data needed to delineate spatial extents of HFCAs [13,[80][81][82]. The rest of the approaches used a variety of methods, with varying degrees of representativeness to delineate HFCA Three commonly used approaches; administrative boundaries, buffers, and Thiessen polygons are limited because they oversimplify socio-demographic, epidemiological and health-seeking characteristics of communities when deriving HFCA (Table 1).…”

The impact of distance of residence from a peripheral health facility on pediatric health utilisation in rural western Kenya

“…As such, the gradient of time expended in visiting the clinic would increase steeply as distance from the clinic increased. In other African settings where other forms of public transport exist, physical distance might be less of a factor in clinic visitation than the cost of transport (Airey 1992;Weber et al. 2002).…”

“…2002). In a study in central Kenya, the building of a new tarmac road resulted in little decrease in the distance‐decay effect, probably because most patients travelled by public transport and the cost of such transport did not fall with the new road (Airey 1992).…”

“…As such, the gradient of time expended in visiting the clinic would increase steeply as distance from the clinic increased. In other African settings where other forms of public transport exist, physical distance might be less of a factor in clinic visitation than the cost of transport (Airey 1992;Weber et al 2002). In a study in central Kenya, the building of a new tarmac road resulted in little decrease in the distance-decay effect, probably because most patients travelled by public transport and the cost of such transport did not fall with the new road (Airey 1992).…”

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

“…Overall, in SSA, there is a scarcity of geocoded data on patients’ residential addresses linked with the facility where care was sought which is the gold standard in defining a HFCA (Table 2). As a result, only six studies utilized such data [8–10,12,83–87], while six other studies either relied on MoH-derived HFCA [26,28,36] or used participatory GIS to collect data needed to delineate spatial extents of HFCAs [13,80–82]. The rest of the approaches used a variety of methods, with varying degrees of representativeness to delineate HFCA…”

“…Overall, in SSA, there is a scarcity of geocoded data on patients' residential addresses linked with the facility where care was sought which is the gold standard in defining a HFCA (Table 2). As a result, only six studies utilized such data [8][9][10]12,[83][84][85][86][87], while six other studies either relied on MoH-derived HFCA [26,28,36] or used participatory GIS to collect data needed to delineate spatial extents of HFCAs [13,[80][81][82]. The rest of the approaches used a variety of methods, with varying degrees of representativeness to delineate HFCA Three commonly used approaches; administrative boundaries, buffers, and Thiessen polygons are limited because they oversimplify socio-demographic, epidemiological and health-seeking characteristics of communities when deriving HFCA (Table 1).…”

The impact of distance of residence from a peripheral health facility on pediatric health utilisation in rural western Kenya

“…As such, the gradient of time expended in visiting the clinic would increase steeply as distance from the clinic increased. In other African settings where other forms of public transport exist, physical distance might be less of a factor in clinic visitation than the cost of transport (Airey 1992;Weber et al. 2002).…”

“…2002). In a study in central Kenya, the building of a new tarmac road resulted in little decrease in the distance‐decay effect, probably because most patients travelled by public transport and the cost of such transport did not fall with the new road (Airey 1992).…”

“…As such, the gradient of time expended in visiting the clinic would increase steeply as distance from the clinic increased. In other African settings where other forms of public transport exist, physical distance might be less of a factor in clinic visitation than the cost of transport (Airey 1992;Weber et al 2002). In a study in central Kenya, the building of a new tarmac road resulted in little decrease in the distance-decay effect, probably because most patients travelled by public transport and the cost of such transport did not fall with the new road (Airey 1992).…”