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.

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.

Objective To analyze the changes in the disease spectrum of hospitalized patients with neurological diseases in a tertiary hospital in the past 5 years,in order to effectively develop targeted disease prevention and treatment strategies.Methods Collect case data of neurological diseases in a tertiary hospital from January 1,2018 to December 31,2022,and use ICD-10 coding for disease classification,and analyze the disease type,gender,age groups,and other factors.Results A total of 9060 patients with neurological diseases were admitted in the past five years.In 2020,the number of discharged patients affected by the COVID-19 was the smallest,accounting for 15.96% ,and in 2022,the number was the largest,accounting for 24.05% .The number of cases showed an increasing trend.There was no statistically significant difference in the composition of male and female patients;There is a statistically significant difference in the number of cases among patients of different age groups,and the incidence categories are different;The top 10 diseases in the ranking of neurological diseases are:transient ischemic attack,headache,spinal nerve disease,neurological disorders,epilepsy,Parkinson's disease,sleep disorders,paralysis,other brain diseases,hydrocephalus.The distribution of the top 10 diseases by gender has statistical significance.Conclusion The hospital can formulate the diagnosis and treatment technology for different age groups according to the distribution characteristics of disease spectrum,carry out comprehensive prevention and treatment measures for key groups,strengthen the construction of key special-ties and allocate health resources properly.