Mokgalaka, H2014-04-102014-04-102013-11Mokgalaka, H. 2013. GIS-based accessibility analysis: An approach to determine public primary health care demand in South Africa. In: Global Geospatial Conference 2013, UNECA Conference Center, Addis Ababa, Ethiopia, November 4-8, 2013http://www.gsdi.org/gsdiconf/gsdi14/slides/5.3c.pdfhttp://hdl.handle.net/10204/7323Global Geospatial Conference 2013, UNECA Conference Center, Addis Ababa, Ethiopia, November 4-8, 2013The spatial realities and dynamics of a changing population with changing health care needs require regular and logical methods to evaluate and assist in primary health care (PHC) planning. Geographical access is an important aspect in the planning process. GIS-based accessibility analysis is a logical method which can be applied to test the degree to which equitable access is obtained. The GIS analysis is however based on the assumption of rational choice, i.e. a person will always go to their closest facility. Inputs to the analysis are supply (capacity of facilities) and demand (people seeking the service) estimates. In South Africa PHC is a dual system made up of private and public health care facilities. Private PHC is expensive and only affordable to affluent citizens or people with medical insurance, and does not form a part of this investigation. Two challenges with respect to GIS-based accessibility analysis for public PHC services within a South African context that emerge are: (a) how accurate is a rational choice based model compared to people’s actual decisions; and (b) what method is the best in determining demand in the absence of accurate databases indicating public versus private health care usage? In this study GIS analysis is applied to determine three distinct demand scenarios based on a combination of three variables: (a) household income category, (b) age, and (c) average facility visits. GIS is used to determine catchment areas for each facility, allocating demand to its closest facility limiting access based on facility capacity and access via a road network. The catchment area analysis results from each of the three demand scenarios are compared with actual usage rates in the form of headcounts and mapped origins of users at each facility.enGISHealth care needsPrimary health careGIS-based accessibilityHousehold income categoryConference PresentationMokgalaka, H. (2013). GIS-based accessibility analysis: An approach to determine public primary health care demand in South Africa. Global Spatial Data Infrastructure Association. http://hdl.handle.net/10204/7323Mokgalaka, H. "GIS-based accessibility analysis: An approach to determine public primary health care demand in South Africa." (2013): http://hdl.handle.net/10204/7323Mokgalaka H, GIS-based accessibility analysis: An approach to determine public primary health care demand in South Africa; Global Spatial Data Infrastructure Association; 2013. http://hdl.handle.net/10204/7323 .TY - Conference Presentation AU - Mokgalaka, H AB - The spatial realities and dynamics of a changing population with changing health care needs require regular and logical methods to evaluate and assist in primary health care (PHC) planning. Geographical access is an important aspect in the planning process. GIS-based accessibility analysis is a logical method which can be applied to test the degree to which equitable access is obtained. The GIS analysis is however based on the assumption of rational choice, i.e. a person will always go to their closest facility. Inputs to the analysis are supply (capacity of facilities) and demand (people seeking the service) estimates. In South Africa PHC is a dual system made up of private and public health care facilities. Private PHC is expensive and only affordable to affluent citizens or people with medical insurance, and does not form a part of this investigation. Two challenges with respect to GIS-based accessibility analysis for public PHC services within a South African context that emerge are: (a) how accurate is a rational choice based model compared to people’s actual decisions; and (b) what method is the best in determining demand in the absence of accurate databases indicating public versus private health care usage? In this study GIS analysis is applied to determine three distinct demand scenarios based on a combination of three variables: (a) household income category, (b) age, and (c) average facility visits. GIS is used to determine catchment areas for each facility, allocating demand to its closest facility limiting access based on facility capacity and access via a road network. The catchment area analysis results from each of the three demand scenarios are compared with actual usage rates in the form of headcounts and mapped origins of users at each facility. DA - 2013-11 DB - ResearchSpace DP - CSIR KW - GIS KW - Health care needs KW - Primary health care KW - GIS-based accessibility KW - Household income category LK - https://researchspace.csir.co.za PY - 2013 T1 - GIS-based accessibility analysis: An approach to determine public primary health care demand in South Africa TI - GIS-based accessibility analysis: An approach to determine public primary health care demand in South Africa UR - http://hdl.handle.net/10204/7323 ER -