Resource consumption due to healthcare-associated infection in patients with tumor-related diseases based on DRG
10.12138/j.issn.1671-9638.20257195
- VernacularTitle:基于DRG分组肿瘤相关疾病患者医院感染的资源消耗分析
- Author:
Danfen CHEN
1
;
Ling CHEN
;
Zhuang BIAN
Author Information
1. 中山大学附属第五医院病案室,广东珠海 519002;珠海市病历质量控制中心,广东珠海 519002
- Publication Type:Journal Article
- Keywords:
disease diagnosis-related grouping;
tumor;
healthcare-associated infection;
resource consumption;
DRG
- From:
Chinese Journal of Infection Control
2025;24(7):947-952
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the medical resource consumption due to healthcare-associated infection(HAI)in patients with tumor based on disease diagnosis-related grouping(DRG).Methods Medical records of discharged patients from a tumor center of a hospital in 2022 were analyzed retrospectively,and differences in indicators such as average length of hospital stay and average expenses per hospitalization between the HAI group and the non-HAI group were compared.Results A total of 10 674 cases were included in the analysis,and 217 cases(2.03％)were in the HAI group.The average expense per hospitalization(5.10[2.38,8.43]10 000 Yuan vs 1.16[0.74,2.04]10 000 Yuan)and average length of hospital stay(25[13,40]days vs 6[4,11]days)of patients in the HAI group were both higher than those in the non-HAI group,both with statistically significant differences(both P＜0.05).The most common infection was bloodstream infection and pulmonary infection,accounting for 23.96％and 22.58％,respectively.In the three DRG groups,namely,RC19(radiotherapy for malignant proliferative disea-ses),RU12(supportive treatment for malignant proliferative diseases[length of hospital stay 7-29 days]),and RB19(high-dose chemotherapy and/or other treatments for acute leukemia),patients in the HAI group had higher average expenses per hospitalization and average length of hospital stay than patients in the non-HAI group,diffe-rences were all statistically significant(all P＜0.05).Conclusion DRG assessment can effectively identify key po-pulations for HAI prevention and control,contribute to implement precise infection prevention and control strate-gies,and reduce HAI incidence and related medical resource consumption.
