Journal of Dali University ›› 2024, Vol. 9 ›› Issue (2): 85-89.

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Analysis on the Allocation and Equity of Medical and Health Resources in Dali Bai Autonomous Prefecture

Yang Qianwen1, Cheng Huizhi1, Li Wanying1, Zhang Qian1, Li Lijuan2, 3*   

  1. (1. College of Public Health, Dali University, Dali, Yunnan 671000, China; 2. Clinical College, Dali University, Dali, Yunnan 671000,
    China; 3. The First Affiliated Hospital of Dali University, Dali, Yunnan 671000, China)
  • Received:2023-08-24 Revised:2023-09-24 Online:2024-02-15 Published:2024-02-24

Abstract: Objective: To understand the current situation of medical and health resource allocation in Dali Bai Autonomous
Prefecture( hereinafter referred to as "Dali Prefecture"), analyze the equity and trend of medical and health resource allocation in Dali
Prefecture from 2015 to 2021, and provide basis for further optimization of medical and health resources. Methods: The Gini coefficient
and agglomeration degree were used to analyze the equity of medical and health resources allocation in Dali Prefecture from the aspects
of number of healthcare institutions, health technicians, practicing (assistant) physicians, registered nurses, and beds. Results: The
level of medical and health resources allocation in Dali Prefecture showed an overall upward trend. The equity of medical and health
resources allocation in Dali Prefecture was poor when the geographical area was used as the evaluation index. When the population
index was used to evaluate the equity, except for the number of healthcare institutions, the overall equity was in a fair state. The
medical and health resources gathered in Dali City were relatively excessive compared with the population, and the other counties were
relatively insufficient. Conclusion: The equity of medical and health resources in Dali Prefecture needs to be improved. Population
and geographical factors should be comprehensively considered to improve the equity of medical and health resources allocation and
rationally plan health investment.

Key words: medical and health resources allocation, Gini coefficient, agglomeration degree, equity

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