Study On The Spatial Distribution Of Primary Health Srevices Institution And Pension Institution Under The Background Of Aging In Guiyang

Objective: Under the spatial distribution of the elderly by 2000 to 2020, to analyze the rationality of the layout of primary health service institutions and pension service institutions by 2014 in Guiyang.In order toprovide scientific basis for Guiyang to deal with the aging of the population and the development ofthe primary health and pension services.Methods: We collected the census data of Guiyangof2000 and 2010, basic information of primary health service institutions and pension service institutions of Guiyang in 2014. The population estimation models were used for community demographic estimates and projections of 2014 and 2020. The absolute numberand relative number were used for statistical description. The spatial autocorrelation analysis was used for the spatial distribution of the elderly. The kernel density analysis was used for the spatial distribution of primary health service institutions and pension service institutions. The buffer analysis and the intersect tool of overlay analysis were used for estimating the coverages of community health service institutions. The space connection tool of overlay analysis was used for judging the belonging of primary health service institutions. And the buffer analysis and position seleceted tool were used for the quantity and composition of community health service stations, townships and pension institutions which were located within the scope of 1.5 km of community health service centers. Results: Guiyang has subordinate six districts, three counties and one city in 2000 to 2014. At these times, there were certain changes in it. It was not yet entered agingof Guiyang in 2000 whileitdid in 2010. The elderly gathered in the center area of Guiyang in 2000, while the number and density of the elderly was gathered in the center of Guiyang when the propotion of the elderly was gathered in the North.It was entered into moderate aging in 2014 which gathered like 2010. Forecast to 2020, there will be a highly aging in the northern edge, and the the aggregation point is little change by 2014.It could be found that the distribution of the elderly of Guiyang become a trendofurban and rural inversion. The distribution of community health service institutions in Guiyang was extremely uneven by 2014. The aggregation point was mainly gathered in the center area, that was the junction center zone of Yunyan District and Nanming District when the distribution of township hospitals was scattered. The part of communities which has no community health service institutions was 18.48%. And the part of primary health service institutions whichwas outside of the scope of community presence which it belongs was 22.22% which was common in Huaxi District. The radiuscoverage of community health service institutions of Guiyang was 48.18%. The part of community health service stations which was located in the service radius of community health service center was 79.22%. There was difference in the average service population of the elderly of community health service institutions and some were overproofed. The pension service institutions were mainly distributed in the junction center zone of Yunyan District and Nanming District to thejunction zone of Nanming District and Huaxi District in 2014. The number of beds of pension service institutions was significantly less which was arisen the area where was gathered the older or the elderly who was live alone. It could be found that 71.56% pension service institutions were in the scope of primary health service institutions. And it was mismatched that the distributions of the elderly with the pension service institutions and the primary health service institutions. Conclusion: It was entered into aging in Guiyang and its process was fasting.The number of the elderly was gathered highly in the center. The regional distribution wasunbalanced and there wasan obvioustrendof urban and rural inversion. The distributions of primary health service institutions and pension service institutions were disproportion. And its arrangements were not reasonable. The pressure of the average service population of the elderly of primary health service institutions was great. The number of beds of pension service institutions was not enough obviously. So we promote to face aging and pay attention on the spatial distribution of the primary health service institutions and pension service institutions. And combined with GIS visualization technology, to improve the rational use and allocation of health resources and pension resources, in order to improve the ability to cope with aging.