Study on the evolution of spatio-temporal pattern of healthcare resource distribution in Changsha City under the perspective of health equity
This paper analyzes the healthcare level and the evolution of spatial and temporal pattern of each district and county in Changsha City by using the entropy value method based on the statistics of the number of healthcare facilities, beds, and health technicians in Changsha City from 2010 to 2018, and evaluates the fairness and trend of healthcare resource distribution in Changsha City over the years in terms of per capita level through the calculation of the Gini coefficient. The results show that the medical level in the southern part of Changsha City is better, the medical level in the northern part is weaker, there are significant differences in the healthcare level between districts and counties and the differences between districts and counties are decreasing year by year; there is a lack of fairness in the level of healthcare technicians in each district and counties in comparison with the level of the number of health care institutions and beds. In this regard, suggestions are made to improve the level of protection of health technical personnel, to equalize the distribution of the internal components of health care, and to improve the construction of the health care system and resource sharing.
Authors
- Hui Tang (ORCID: https://orcid.org/0000-0002-3384-8046)
- Deng Pan (ORCID: https://orcid.org/0000-0001-5812-9550)
- Jie Yan (ORCID: https://orcid.org/0000-0003-2054-6986)
- Yu Chen (ORCID: https://orcid.org/0000-0001-9926-2518)
Institutions
- Hunan University (CN)
- Hunan City University (CN)
- Guangdong Urban & Rural Planning and Design Institute (CN)
Publication Details
- Journal
- Intelligent Decision Technologies
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1177/18724981241295933
- Primary Topic
- Medical Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Hunan Province
- Philosophy and Social Science Foundation of Hunan Province
- National Outstanding Youth Science Fund Project of National Natural Science Foundation of China