Your browser doesn't support javascript.
loading
Influencing factors on hospitalization expenses of high-rate cases based on grey correlation and regression analysis / 中华医院管理杂志
Chinese Journal of Hospital Administration ; (12): 496-499, 2020.
Article in Chinese | WPRIM | ID: wpr-872299
ABSTRACT

Objective:

To investigate the influencing factors of hospitalization expenses in high-rate cases, and provide scientific basis for targeted cost control.

Methods:

The first page data of 79 929 discharged medical records of a tertiary hospital in Ningxia Hui Autonomous Region in 2018 were selected for DRG analysis and evaluation. The average total hospitalization expenses of the same DRG group in the same level and similar hospitals in Ningxia were taken as the benchmark cost to calculate the benchmarking ratio of each DRG group. GM grey correlation method was applied to analyze the correlation between each sub-item cost and the total hospitalization cost of each DRG group, and the logistic regression was used to analyze the influencing factors of high-rate cases.

Results:

There were 1 292 high-rate cases, accounting for 1.64% of 78 789 DRG-incorporated cases. The results of grey correlation analysis showed that among the 10 high-rate DRG groups, the correlation order of drug cost in 6 DRG groups was the first, and that of consumables cost was the first in 2 DRG groups; logistic regression results showed that age group( P=0.010), actual hospital stay( P<0.001), and mode of leaving hospital( P<0.001) were the influencing factors of high-rate cases.

Conclusions:

Drug costs, consumables costs, and length of stay have great influence on the hospitalization costs for high-rate cases, which should be paid particular attention to.
Full text: Available Index: WPRIM (Western Pacific) Type of study: Health economic evaluation Language: Chinese Journal: Chinese Journal of Hospital Administration Year: 2020 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Type of study: Health economic evaluation Language: Chinese Journal: Chinese Journal of Hospital Administration Year: 2020 Type: Article