Model fitting study on antimicrobial usage intensity corrected by case mix index
Objective:To explore the association between the case mix index(CMI)and antimicrobial usage intensity(AUD),adjust the evaluation of antimicrobial usage,and provide a comprehensive assessment.Methods:Data on CMI and antimicrobial-related indicators from a Grade Ⅲ Level A Hospital in Anhui Province from 2021 to 2023 were collected.Eight models,including linear and quadratic curves,were applied to fit the relationship between CMI and antimicrobial indicators.Subsequently,the rank-sum ratio(RSR)method was used to reevaluate antimicrobial usage across different departments.Results:A weak correlation was observed between CMI and AUD.However,a strong correlation was found between the product of CMI and the number of discharges during the same period and the cumulative antimicrobial usage.Comprehensive evaluations using the RSR method showed significant changes before and after adjustment.Conclusion:There is an indirect association between CMI and AUD.Future modeling of antimicrobial usage should include correction factors to enhance the accuracy and reliability of evaluation results.
case mix indexantimicrobial usagemodel fittingrank-sum ratio method
万方数据
维普
