ABSTRACT
Objective To evaluate the effects of day surgery on average days of stay, and to provide scientific basis for shorter average days of stay. Methods Data of average days of stay from November 2011 to December 2016 were extracted from 6 departments, Xiangya Hospital, Central South University. Segmented regression analysis of interrupted time series was used to analyze the trend of average days of stay of pre-and post-day surgery. Results Thanks to the application of day surgery, average days of stay decreased by 0. 071 days per month, and the monthly decline increased by 0. 049 days (P<0. 001) than before. Average days of stay in the department of stomatology, ear-nose-throat, general surgery and hepatobiliary & enteric surgery research center were the most obvious, and the monthly decline increased by 0. 110 days (P<0. 001), 0. 049 days (P=0. 008) , 0. 075 days (P<0. 001), and 0. 057 days (P=0. 003), respectively than before. Conclusions Day surgery could decrease average days of stay, enhancing the utilization of hospital resources.
ABSTRACT
As introduced in the paper, the average days of stay of clinical department were calculated as a management target, in view of the complexity of disease and case mix index. This method could avoid the deficiency of traditional methods and make the management of average length of stay of clinical department more conforming to the actual situation, and also more scientific and reasonable.
ABSTRACT
Objective To measure and predict the hospital resources to be saved by reducing one day of stay in average in China,predict its future impacts,and to probe into the importance of less average days of stay for hospital resource deployment.Methods A mathematical model was used for quantitative analysis of the actual impacts of one less day of stay in China′s hospitals for the hospital resources,and the gray forecasting model was used to predict the hospital resources so saved by achieving so during 2013 to 2025.Results One hospital day less could save 9.41% of a hospital′s total bed resources.According to the growing trend of hospital beds in China and the deployment relationship,it is predicted that more hospital resources will be saved by one hospital day less in average from 2013 to 2025.Conclusions Shorter average days of stay and optimal deployment of hospital resources,should be based on quality of care.Less ineffective waiting time to shorten average days of stay can be breakthrough to improve the comprehensive efficiency of health resources.