Use of geographical information systems for delimiting health service areas in China

  • Xuechen Xiong School of Public Health, Fudan University, Shanghai, China.
  • Li Luo | 14211020047@fudan.edu.cn School of Public Health, Fudan University, Shanghai, China.

Abstract

With the objective of choosing a practical and valid method to delimit health service areas of regional health service centres to build a regional basic health service network, we first drew lessons from traditional geographic methods of delimiting trade areas and then applied two methods to delimit health service areas, i.e. the proximal method and the gravity method. We verified the effectiveness of these methods by an index of similarity with the aid of real in-patient data. Calculation of the similarity indices shows that health service areas delimited by the proximal method has an 87.3% similarity to the real health service area, while the gravity method gives 88.6%. Our conclusion is that both methods are suitable for delimiting health service areas at regional health service centres, but find that the proximal method is more practicable in operational terms for delimiting health service areas in region health planning.

Downloads

Download data is not yet available.
Published
2017-05-11
Section
Original Articles
Keywords:
Health service area, Basic health service, Regional health planning, GIS, Chinese health system reform
Statistics
Abstract views: 1002

PDF: 456
HTML: 944
Share it

PlumX Metrics

PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

How to Cite
Xiong, X., & Luo, L. (2017). Use of geographical information systems for delimiting health service areas in China. Geospatial Health, 12(1). https://doi.org/10.4081/gh.2017.486