RESUMO
Objective@#To analyze the effect of variables on both " effective operative time" and " operative turnaround rate" .@*Methods@#Based on the time node data of operation rooms (OR) of a hospital in 2017, SPSS 19.0 statistical software was used to analyze the " effective operative time" and " operative turnover rate" under different condition variables. The methods include mean value, standard deviation and independent sample t test.@*Results@#The mean values of " effective operative time" varied with months (with the highest month of 9.18±2.49 h/d, and the lowest month of 7.93±2.60 h/d), and with workdays as well (the highest on Monday: 8.72±2.57 h/d, and the lowest on Friday: 7.77±2.67 h/d). Meanwhile it also varied with ORs (the highest of 9.92±2.50, and the lowest of 4.84±1.98). In surgeries which started before 8: 30 am, the effective operative time of OR was significantly higher than others. On Mondays, the effective operative time of ORs was the highest, but the operative turnover rate was poor (as low as 13.20%). There was significant difference in the operative turnover rate between specialized ORs and those not for general purpose.@*Conclusions@#In order to optimize the comprehensive utilization of operation rooms, it is necessary to coordinate the operations, reduce the proportion of non-planned operations on " Mondays" , raise the turnover rate, and strengthen the coordination between working posts.