In recent years, with the increasing attention of health administrative departments and medical institutions at all levels to hospital infection, the prevention and control of hospital infection is increasing. As an important part of the quality control network, the role of provincial quality control center has a very important impact on the effectiveness of quality control work. Since its establishment, “Gansu Provincial Medical Quality Control Center of Hospital Infection Management” has actively explored the quality control mode suitable for the provincial situation, continuously strengthened the basic hospital infection quality control work, and innovated the quality control forms, especially the special quality control activities of “Infection Prevention in Gansu Province” with the core content of “supervision, training and investigation” carried out in combination with the provincial situation, which has created a new quality control work mode of the provincial quality control center. It is recognized and promoted by the national counterparts, and playes a positive role in promoting the management of hospital infection in the whole province. This article expounds the supervision practice of “Infection Prevention in Gansu Province” from four aspects in detail.
Objective To explore the independent risk factors for hospital infections in tertiary hospitals in Gansu Province, and establish and validate a prediction model. Methods A total of 690 patients hospitalized with hospital infections in Gansu Provincial Hospital between January and December 2021 were selected as the infection group; matched with admission department and age at a 1∶1 ratio, 690 patients who were hospitalized during the same period without hospital infections were selected as the control group. The information including underlying diseases, endoscopic operations, blood transfusion and immunosuppressant use of the two groups were compared, the factors influencing hospital infections in hospitalized patients were analyzed through multiple logistic regression, and the logistic prediction model was established. Eighty percent of the data from Gansu Provincial Hospital were used as the training set of the model, and the remaining 20% were used as the test set for internal validation. Case data from other three hospitals in Gansu Province were used for external validation. Sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC) were used to evaluate the model effectiveness. Results Multiple logistic regression analysis showed that endoscopic therapeutic manipulation [odds ratio (OR)=3.360, 95% confidence interval (CI) (2.496, 4.523)], indwelling catheter [OR=3.100, 95%CI (2.352, 4.085)], organ transplantation/artifact implantation [OR=3.133, 95%CI (1.780, 5.516)], blood or blood product transfusions [OR=3.412, 95%CI (2.626, 4.434)], glucocorticoids [OR=2.253, 95%CI (1.608, 3.157)], the number of underlying diseases [OR=1.197, 95%CI (1.068, 1.342)], and the number of surgical procedures performed during hospitalization [OR=1.221, 95%CI (1.096, 1.361)] were risk factors for hospital infections. The regression equation of the prediction model was: logit(P)=–2.208+1.212×endoscopic therapeutic operations+1.131×indwelling urinary catheters+1.142×organ transplantation/artifact implantation+1.227×transfusion of blood or blood products+0.812×glucocorticosteroids+0.180×number of underlying diseases+0.200×number of surgical procedures performed during the hospitalization. The internal validation set model had a sensitivity of 72.857%, a specificity of 77.206%, an accuracy of 76.692%, and an AUC value of 0.817. The external validation model had a sensitivity of 63.705%, a specificity of 70.934%, an accuracy of 68.669%, and an AUC value of 0.726. Conclusions Endoscopic treatment operation, indwelling catheter, organ transplantation/artifact implantation, blood or blood product transfusion, glucocorticoid, number of underlying diseases, and number of surgical cases during hospitalization are influencing factors of hospital infections. The model can effectively predict the occurrence of hospital infections and guide the clinic to take preventive measures to reduce the occurrence of hospital infections.
Objective To systematically review the willingness to use pre-exposure prophylaxis (PrEP) and its influencing factors among men who have sex with men (MSM) in China. Methods We conducted a comprehensive search on various databases, including China National Knowledge Infrastructure, VIP database, Wanfang data, China Biomedical Literature Service System, PubMed, Web of Science, Cochrane Library, and Embase, covering the period from database inception to September 6th, 2023. We focused on studies that publicly reported data on the willingness to use PrEP and its influencing factors among MSM in China. The quality of included studies was assessed using the quality evaluation criteria recommended by the Agency for Healthcare Research and Quality. RevMan 5.3 software and Stata 13.1 software were used to perform meta-analysis for the willingness to use PrEP and its influencing factors among MSM in China. Results A total of 24 cross-sectional studies with 19 influencing factors and a sample size of 16499 participants were included in the review. The results revealed a PrEP usage intention rate of 60.4% [95% confidence interval (CI) (51.8%, 68.9%)] among the MSM population in China. Factors such as awareness of PrEP [odds ratio (OR)=5.26, 95%CI (1.33, 20.82)], having heard of PrEP [OR=1.84, 95%CI (1.28, 2.64)], age<25 years [OR=1.92, 95%CI (1.34, 2.77)], being a student [OR=1.92, 95%CI (1.17, 3.16)], monthly income of 1000-3000 yuan [OR=1.36, 95%CI (1.12, 1.65)], history of human immunodeficiency virus (HIV) testing [OR=2.05, 95%CI (1.53, 2.74)], history of sexually transmitted infections [OR=1.75, 95%CI (1.27, 2.40)], seeking sexual partners online [OR=1.38, 95%CI (1.19, 1.59)], openness about sexual orientation [OR=1.90, 95%CI (1.27, 2.84)], having a non-local household registration [OR=1.66, 95%CI (1.37, 2.02)], and recommending PrEP to friends [OR=20.14, 95%CI (2.59, 156.91)] were identified as promoting factors for the willingness to use PrEP. Conversely, a homosexual orientation [OR=0.67, 95%CI (0.52, 0.85)] was identified as a barrier to the willingness to use PrEP. Conclusions Chinese MSM have a low intention to use PrEP, and there are many factors affecting the intention to use PrEP in MSM. In the future HIV prevention and control work, measures such as strengthening education and publicity of PrEP, providing a certain degree of support for PrEP costs, strengthening health education on campus, strengthening community organizations and support networks should be taken to promote the willingness of MSM to use PrEP.