An integrative method for analyzing spatial accessibility in the hierarchical diagnosis and treatment system in China
| Autor: | Shiju Liao, Jinhuan Wang, Yi Peng, Liyin Shen, Tianheng Shu, Nan Yang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Government
Treatment system China Health (social science) Knowledge management Referral Computer science business.industry 030503 health policy & services Perspective (graphical) Context (language use) Social issues Health Services Accessibility Medical services 03 medical and health sciences 0302 clinical medicine History and Philosophy of Science Humans 030212 general & internal medicine 0305 other medical science business Referral and Consultation |
| Zdroj: | Social sciencemedicine (1982). 270 |
| ISSN: | 1873-5347 |
| Popis: | Spatial accessibility to medical services (SAMS) is one of the most important indicators to examine the convenience for people to get access to medical services. In China, the difficulty in getting access to medical services is a commonly appreciated social problem. To mitigate this problem, Chinese government established the hierarchical diagnosis and treatment system (HDTS) in 2005. However, there is no existing study to examine the HDTS from the perspective of SAMS. This paper therefore introduces an integrative method to analyze SAMS in adopting HDTS. The introduced integrative method is developed by referring to the existing 2SFCA method, a commonly applied method for analyzing SAMS, and the characteristics of HDTS are taken into consideration. The application of the integrative method is demonstrated with reference to a Chongqing case. The research findings suggest that: 1) A new method to evaluate SAMS in the context of HDTS is needed; 2) The integrative method developed in this study is proven effective for analyzing SAMS in the context of HDTS through the case study; 3) The case results reveal that the implementation of HDTS can significantly improve the overall SAMS performance in Chongqing; 4) The desirable referral rate of HDTS is 1.24% in the case study by comparing the SAMS performance between different referral rates. |
| Databáze: | OpenAIRE |
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