Influencing factors for operative workload: analysis based on multivariate regression model

2018 
Objective To establish a multi-regression workload model based on surgical related factors. Methods The routine surgery workload was measured by the RBRVS development process of Hsiao WC, and multiple regression models were established for the operative factors from the surgical project specifications, pricing regulations and the operative workload. Results Top workload factors of an operation were technical difficulty, surgical classification and time cost. Multiple regression equation R2=0.699. One degree increase of technical difficulty would push up workload by 0.034; one level of operation grade would raise workload by 0.793; and every one hour longer of the operation time would increase workload by 1.025. Conclusions Operations of higher level, technical difficulty and longer time cost should deserve more reimbursement in consideration of both pricing and income distribution. Key words: Regression analysis; Resource-Based Relative Value Scale; Workload; Operation
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