Prevalence survey of monitoring indexes for hospital-associated infections in Anhui Province
10.11816/cn.ni.2025-246611
- VernacularTitle:安徽省医院感染监测指标现况调查
- Author:
Ruojie LI
1
;
Yile WU
1
;
Xiaoqian HU
1
;
Xueping WANG
1
;
Kai HUANG
1
;
Xiang YAN
1
;
Dequan WU
1
Author Information
1. 安徽医科大学第二附属医院医院感染管理办公室,安徽 合肥 230601
- Publication Type:Journal Article
- Keywords:
Healthcare-associated infections surveillance;
Surgical site infection;
Antibacterial drugs;
Device-asso-ciated infection;
Incidence rate
- From:
Chinese Journal of Nosocomiology
2025;35(16):2495-2498
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To evaluate the changes in monitoring indicators related to healthcare-associated infections(HAIs)management in Anhui Province in 2018 and 2022,to provide a scientific basis for optimizing HAI control strategies.METHODS A cross-sectional survey was conducted in 2019 and 2023 across 48 secondary and tertia-ry medical institutions,HAI data were collected and analyzed.RESULTS The two-year averages of monitoring indi-cators were as follows:the incidence rate of HAIs was 0.66％,the prevalence rate of HAIs was 1.69％,the inci-dence rate of surgical site infection for class I incisions was 0.20％,the antibiotic usage rate was 44.59％,the pathogen detection rate for therapeutic antibiotics was 43.76％,the incidence rate of catheter-related blood-stream infection(CRBSI)was 0.64‰,the incidence rate of ventilator-associated pneumonia(VAP)was 5.81‰,and the incidence rate of catheter-associated urinary tract infection(CAUTI)was 0.79‰.By 2022,significant im-provements were observed in most indicators(P＜0.05).Compared to tertiary hospitals,secondary hospitals ex-hibited low rates of hospital infection incidence,prevalence,class I incision infections,antibiotic utilization and CRBSI,but high rates of VAP and CAUTI(P＜0.05).CONCLUSIONS Significant improvements have been made in monitoring indicators related to HAI managements in Anhui Province.However,secondary hospitals still need to enhance their capabilities of monitoring indicators and detecting pathogens.
