Application of Green Model-Based Infection Early Warning Management in the Nursing of Urinary Tract Infection Patients

TANG Anqi; HU Zhaoxian; LIU Peizhen

doi:10.14033/j.cnki.cfmr.2026.06.043

Abstract：Objective:To investigate the intervention effects of implementing Green Model-based infection early warning management for patients with urinary tract infections.Method:90 patients with urinary tract infections admitted to the First Affiliated Hospital of Bengbu Medical University from January 2022 to October 2024 were enrolled.The patients were divided into two groups using a convenience sampling method.The control group(n=45)received routine care,while the research group(n=45)received Green Model-based infection early warning management.The pain level,infection symptoms,self-care ability,positive and negative emotions,and nursing satisfaction were compared between the two groups.Result:After the intervention,the Numerical Rating Scale(NRS)and the Infection-Related Symptom Scale(IRS)scores of the research group were lower than those of the control group.The self-care ability of the research group improved compared with that of the control group after the intervention.After the intervention,the positive emotions of the research group were higher than those of the control group,while the negative emotions were lower than those of the control group.The nursing satisfaction of the research group was higher than that of the control group,and the differences were statistically significant(P<0.05).Conclusion:Implementing Green Model-based infection early warning management for patients with urinary tract infections can improve infection symptoms,reduce pain levels,enhance self-care ability,and has significant practical value.