Decision tree model-based economic evaluation of multidose packaging contrast agent for contrast-enhanced CT
Objective To evaluate the economy of imaging bulk package contrast agents in CT rooms and explore the clinical application of bulk doses.Methods Based on contrast agent usage and medical insurance reimbursement of 1 169 patients in the database built by the research team and the hospital management information system,general statistical methods and decision tree model were used to analyze the impact of different specifications of contrast agents on the number of hospital scans.Economic evaluation was conducted by the minimum cost method.Additionally,qualitative interviews were conducted to explore the technical advantages and safety of imaging bulk package contrast agents.Results According to the average annual scans of 49 807 patients in the sample hospital,compared with the 100ml(400mg/ml)specification,the 500m1(400mg/ml)specification contrast agent saved an average of 29.60 s of examination time per person.This resulted in an annual increase of 3 890 scan patients,generating an additional revenue of approximately 3.01 million RMB for the hospital.The 500ml(400mg/ml)specification contrast agent,on average,saved medical insurance expenses for each hospital by 12.06-12.79 million RMB annually(a reduction of 52.19%—55.38%).The 500ml(400mg/ml)specification contrast agent also reduced medical waste by an average of 3 832 kg per year,saving waste disposal costs by 13 500 RMB.Qualitative interview results indicated that imaging bulk package contrast agents could save hospital resources to a certain extent and ensure safety at the current technological level.Conclusion With the continuous promotion of disease diagnosis-related groups payment models,imaging bulk package contrast agents have lower costs and can reduce resource waste,save nursing staff operation time.This can effectively reduce the economic burden on hospitals,improve the efficiency of medical insurance payment and hospital operation.
multidose packaging contrast agentcontrast-enhanced CTcost minimization analysisreal-world data