Practice of Multidepartmental Collaboration in Promoting the Standardized Use of Intravenous Infusion for Inpatients
Objective To explore the effectiveness of comprehensive intervention to improve the standardized use of intravenous infusion in hospitalized patients.Methods Data related to intravenous infusion of hospitalized patients in the Second Affiliated Hospital of Baotou Medical College,Inner Mongolia University of Science and Technology from January to December 2020(before intervention)and from January to December 2022(after intervention)were derived through the hospital computer system.The impact of various measures,including comprehensive management by multiple departments and multi-party monitoring intervention,on relevant indicators such as intravenous infusion rate,intravenous infusion volume,and the intensity of intravenous infusion of key monitoring drugs in hospitalized patients before and after intervention were analyzed and compared,and evaluate the effectiveness and shortcomings of collaborative intervention by various departments.The relevant data of inpatient venous infusion rate,intravenous infusion volume,and key monitoring drug intravenous infusion intensity before and after various measures,including comprehensive management by multiple departments and multiple monitoring interventions.Results The rate of intravenous infusion in hospitalized patients after intervention was 85.09%(17444/20501),which was lower than 89.13%(19536/21919)before intervention,and the difference was statistically significant(P<0.05).Before and after the collaborative intervention of multiple departments,the venous infusion indicators of hospitalized patients decreased,and the difference was statistically significant.Conclusion Through the joint intervention of multiple departments,various indicators of intravenous infusion in hospitalized patients can be effectively reduced.The effectiveness of clinical rational drug use is significant,providing reference for pharmaceutical management and medical quality management.
万方数据
维普
