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Analysis on the Characteristic of Annual Individual Medical Expenditure for Rural Residents / 中国卫生经济
Chinese Health Economics ; (12): 77-80, 2017.
Article in Chinese | WPRIM | ID: wpr-514856
ABSTRACT

Objective:

To figure out the characteristics of annual medical expenditure for rural residents and its distribution among different population.

Methods:

The individual annual medical service utilization information was summarized after dealing with the database of the 2014 new rural cooperative medical system by Excel.It prescribed the clustering of medical expenditure by Lorenz curve and Gini index.Descriptive statistics and x2 test were used to compare the characteristics and distribution of the annual medical expenditure among rural residents.The Chi-square test was conducted to compare the differences of the population distribution.

Results:

The costliest 5% patients accounted for approximately 68% of total health care expenditure.The annual total expenditure was 16628 yuan per capita among high-cost population,while low-cost population were 108 yuan.The Gini index of medical expenditure for rural residents was 0.81.Among female and population over 45 years old,the proportion of high-cost population was higher than 5%.People living near provincial road,in flatlands or areas where the ability of township hospital was limited were nore likely to expense higher medical costs,known as 6.40%,5.50% and 5.80% separately.

Conclusion:

Clustering of medical expenditure for rural residents was remarkable,while the expenditure among high-cost,medium-cost and low-cost population were quite different.The elderly,female and primary population living in areas where the ability of township hospitals were limited were more likely to generate high medical costs.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Health economic evaluation Language: Chinese Journal: Chinese Health Economics Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Health economic evaluation Language: Chinese Journal: Chinese Health Economics Year: 2017 Type: Article