Your browser doesn't support javascript.
loading
Research on the operation efficiency of the basic medical insurance system for urban and rural residents in China and its influencing factors / 中国卫生政策研究
Chinese Journal of Health Policy ; (12): 68-74, 2024.
Article in Chinese | WPRIM | ID: wpr-1025324
ABSTRACT

Objective:

Operational efficiency and influencing factors of China's basic medical insurance system from 2020 to 2021 is conducted to provide reference for improving the operational efficiency and optimizing the input-output relationship.

Methods:

The super-efficiency SBM model based on unexpected output and the Malmquist index are used to measure the static and dynamic efficiency of resident medical insurance in 31 provinces in China,and Tobit regression analysis is employed to analyze the influencing factors.

Results:

The overall operational efficiency of resident medical insurance still needs improvement.The operational efficiency of resident medical insurance in the central and western regions is lower than that in the eastern region,and the gap is significant.Different levels and regions have differentiated main constraints on the operational efficiency of resident medical insurance.In terms of dynamic efficiency,the total factor productivity of resident medical insurance operation shows an increasing trend,mainly due to technological progress.In terms of influencing factors,the degree of aging,the level of medical expenses and the level of medical insurance supervision have a significant impact on the operational efficiency.SuggestionsEfforts should be made to bridge regional disparities,promote the equitable development of medical insurance,reasonably control the level of medical expenses,strengthen the supervision of medical insurance funds,and implement active aging policies.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Health Policy Year: 2024 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Health Policy Year: 2024 Type: Article