Hospitalization expenses of adult leukemia patients with relapse based on quantile regression
10.3969/j.issn.1006-2483.2024.01.021
- VernacularTitle:基于分位数回归法的成人白血病患者复发住院费用分析
- Author:
Qin SHEN
1
;
Huan KOU
2
;
Xianwei NING
3
Author Information
1. Department of Hematology ,West China Hospital of Sichuan University/West China School of Nursing , Sichuan University , Chengdu , Sichuan 610041 , China
2. Department of Nephrology , Sichuan Second Hospital of Traditional Chinese Medicine , Chengdu , Sichuan 610031 , China
3. Department of Pediatrics , Sichuan Jinxin Women's and Children's Hospital , Chengdu , Sichuan 610021, China
- Publication Type:Journal Article
- Keywords:
Leukemia;
Hospitalization expenses;
Quantile regression method
- From:
Journal of Public Health and Preventive Medicine
2024;35(1):93-95
- CountryChina
- Language:Chinese
-
Abstract:
Objective Based on quantile regression analysis, the influencing factors of relapse hospitalization expenses of adult leukemia patients were analyzed. Methods Analyze the composition and influencing factors of hospitalization expenses for leukemia recurrence patients in our hospital. Results From 2017 to 2022 , the per capita hospitalization cost for leukemia patients with recurrence showed an increasing trend year by year. The results of quantile regression model showed that age, payment method , length of stay, times of stay, operation and complications had an impact on the hospitalization expenses of patients at different quantiles, and the difference between different quantiles was statistically significant (P<0.05). Conclusions The quantile regression method can more clearly reflect the distribution of the variables of each factor , we can reduce the hospitalization expenses of patients by improving the coverage rate of medical insurance and controlling the length of stay.
