Objective To evaluate the efficiency of prevention and control strategies of carbapenem-resistant organism (CRO) in medical institutions in China using meta-analysis method. Methods PubMed, Embase, Medline (Ovid), Web of Science, China National Knowledge Infrastructure, Chongqing VIP and Wanfang Database were systematically searched for studies on CRO prevention and control in Chinese medical institutions from the establishment of databases to 2023 for meta-analysis. Results A total of 21 studies were included, consisting of 3 randomized controlled studies and 18 non-randomized controlled studies. The meta-analysis results showed that compared with standard prevention and control measures, strengthened intervention measures (including active screening, information-based transparent supervision mode, comprehensive intervention, and bundled prevention and control strategies) could effectively reduce the CRO infection rate [relative risk (RR)=0.40, 95% confidence interval (CI) (0.25, 0.65), P<0.05]. Proactive screening could effectively reduce the CRO infection rate [RR=0.52, 95%CI (0.30, 0.91), P<0.05] and carbapenem-resistant Enterobacteriaceae (CRE) infection rate [RR=0.47, 95%CI (0.24, 0.93), P<0.05]. Information-based transparent supervision could reduce the CRE infection rate by improving compliance with standard prevention and control measures [RR=0.42, 95%CI (0.28, 0.62), P<0.05]. Conclusions Compared with standard prevention and control measures, strengthened intervention measures can effectively reduce the risk of in-hospital transmission and infection of CRO. In clinical practice, bundled comprehensive intervention can be combined with information-based transparent supervision, and if necessary, proactive screening of CRO in high-risk populations should be carried out.
Objective To investigate the free influenza vaccination of health care workers in major departments and explore the possible influencing factors of influenza vaccination of staff. Methods In November 2021, a questionnaire survey was conducted among health care workers who received free influenza vaccination in 19 major departments of West China Hospital of Sichuan University, and the un-vaccinated workers’ information was obtained from the registration system of staff information. Multiple logistic regression model was used to analyze the possible influencing factors of free influenza vaccination. Results The coverage rate of centralized free influenza vaccination of staff in major departments was 32.7% (1101/3369). Multiple logistic regression analysis showed that workers who were female [odds ratio (OR)=1.853, 95% confidence interval (CI) (1.481, 2.318), P<0.001], with an educational background of high school or below [OR=4.304, 95%CI (2.484, 7.455), P<0.001], engaged in nursing work [OR=2.341, 95%CI (1.701, 3.221), P<0.001], and with 11 or more years of working experience [OR=2.410, 95%CI (1.657, 3.505), P<0.001] were more likely to inject influenza vaccine, and workers who had a bachelor’s degree were less likely to inject influenza vaccine. Conclusions The rate of free influenza vaccination among medical staff is low. In order to mobilize the enthusiasm of influenza vaccination among medical staff, it is necessary to analyze the characteristics of the population and take targeted measures to improve the level of vaccination among medical staff.